Upload tokenizer

README.md

@@ -0,0 +1,199 @@
+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

special_tokens_map.json

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+{
+  "bos_token": "(BOS)",
+  "eos_token": "(EOS)",
+  "mask_token": "(MASK)",
+  "pad_token": "(PAD)",
+  "unk_token": "(UNK)"
+}

tokenizer.json

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+{
+  "version": "1.0",
+  "truncation": null,
+  "padding": null,
+  "added_tokens": [
+    {
+      "id": 0,
+      "content": "(BOS)",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 1,
+      "content": "(EOS)",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 2,
+      "content": "(UNK)",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": false
+    },
+    {
+      "id": 3,
+      "content": "(PAD)",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 4,
+      "content": "(MASK)",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 1000,
+      "content": "(LNG)",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": false
+    },
+    {
+      "id": 1001,
+      "content": "(SPN)",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": false
+    }
+  ],
+  "normalizer": null,
+  "pre_tokenizer": {
+    "type": "ByteLevel",
+    "add_prefix_space": true,
+    "trim_offsets": true,
+    "use_regex": true
+  },
+  "post_processor": {
+    "type": "TemplateProcessing",
+    "single": [
+      {
+        "Sequence": {
+          "id": "A",
+          "type_id": 0
+        }
+      },
+      {
+        "SpecialToken": {
+          "id": "(EOS)",
+          "type_id": 0
+        }
+      }
+    ],
+    "pair": [
+      {
+        "Sequence": {
+          "id": "A",
+          "type_id": 0
+        }
+      },
+      {
+        "SpecialToken": {
+          "id": "(EOS)",
+          "type_id": 0
+        }
+      },
+      {
+        "Sequence": {
+          "id": "B",
+          "type_id": 1
+        }
+      },
+      {
+        "SpecialToken": {
+          "id": "(EOS)",
+          "type_id": 1
+        }
+      }
+    ],
+    "special_tokens": {
+      "(BOS)": {
+        "id": "(BOS)",
+        "ids": [
+          0
+        ],
+        "tokens": [
+          "(BOS)"
+        ]
+      },
+      "(EOS)": {
+        "id": "(EOS)",
+        "ids": [
+          1
+        ],
+        "tokens": [
+          "(EOS)"
+        ]
+      }
+    }
+  },
+  "decoder": {
+    "type": "ByteLevel",
+    "add_prefix_space": true,
+    "trim_offsets": true,
+    "use_regex": true
+  },
+  "model": {
+    "type": "BPE",
+    "dropout": null,
+    "unk_token": "(UNK)",
+    "continuing_subword_prefix": null,
+    "end_of_word_suffix": null,
+    "fuse_unk": false,
+    "byte_fallback": false,
+    "vocab": {
+      "(BOS)": 0,
+      "(EOS)": 1,
+      "(UNK)": 2,
+      "(PAD)": 3,
+      "(MASK)": 4,
+      "!": 5,
+      "%": 6,
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+      ",": 12,
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+      "Ġp ÅĻÃŃ",
+      "st a",
+      "v i",
+      "no st",
+      "Ġje d",
+      "Ġ re",
+      "Ġst á",
+      "r i",
+      "j i",
+      "Ġ in",
+      "Ġro z",
+      "Ġv ý",
+      "Ġh la",
+      "Ġjs ou",
+      "p ra",
+      "ov o",
+      "ÃŃ t",
+      "ÅĻe b",
+      "e r",
+      "e z",
+      "Ġkter é",
+      "Ġjs me",
+      "b o",
+      "l é",
+      "ý m",
+      "Ġko n",
+      "s a",
+      "t y",
+      "Ġm y",
+      "k ra",
+      "Ġpo t",
+      "Å¡ i",
+      "Ġpa nÃŃ",
+      "ho d",
+      "Ġ ce",
+      "Ġ co",
+      "v r",
+      "le g",
+      "Äį e",
+      "cho m",
+      "Ġpro to",
+      "l ÃŃ",
+      "n ou",
+      "p e",
+      "Å Ī",
+      "k á",
+      "Ġhla s",
+      "Ġz d",
+      "Ġt é",
+      "ĠmusÃŃ me",
+      "Ġ li",
+      "d i",
+      "Ġp ra",
+      "N G",
+      "L NG",
+      "Ġv ÄĽ",
+      "Ġ 2",
+      "s i",
+      "d á",
+      "Ġjak o",
+      "t ÃŃ",
+      "ck é",
+      "Ġne j",
+      "Ġs ou",
+      "Ġt ÄĽ",
+      "p a",
+      "Ġd ů",
+      "n ý",
+      "ž it",
+      "s o",
+      "d ou",
+      "Ġ ?",
+      "g i",
+      "no sti",
+      "Ġz em",
+      "á lnÃŃ",
+      "st u",
+      "ĠpÅĻed se",
+      "t a",
+      "k la",
+      "Ġp r",
+      "Ġt y",
+      "d ÃŃ",
+      "r y",
+      "Ġj á",
+      "Ġd i",
+      "Ġ P",
+      "vr h",
+      "m a",
+      "Äį nÃŃ",
+      "Ġ 1",
+      "Ġ ÅĻe",
+      "Ġv Å¡e",
+      "m y",
+      "Ġ K",
+      "Ġd al",
+      "le n",
+      "uj ÃŃ",
+      "Ġs l",
+      "Ġko leg",
+      "Ġta dy",
+      "v é",
+      "t á",
+      "Ġpro ti",
+      "a s",
+      "Ä ı",
+      "Ġpan e",
+      "Å¡ tÄĽ",
+      "le d",
+      "Ġm i",
+      "z i",
+      "Ġve l",
+      "uje me",
+      "Ġb ý",
+      "Ġná vrh",
+      "ů že",
+      "ž ÃŃ",
+      "Ġte dy",
+      "ov á",
+      "ĠpÅĻi j",
+      "it u",
+      "Ġe vrop",
+      "ĠÄį á",
+      "Ġb o",
+      "Ġu ni",
+      "Ġt en",
+      "Ġt u",
+      "stu p",
+      "Ġpot ÅĻeb",
+      "le Äį",
+      "Ġto ho",
+      "ĠvÅ¡e ch",
+      "st e",
+      "Ġbý t",
+      "Ġpo li",
+      "Ġto m",
+      "Ġ S",
+      "Ġk dy",
+      "Ġko mi",
+      "z a",
+      "Ġz p",
+      "Ġ R",
+      "Ġhlas ovánÃŃ",
+      "Ġaby chom",
+      "t nÃŃ",
+      "m ÃŃ",
+      "Ġdal Å¡ÃŃ",
+      "ů m",
+      "Ġd á",
+      "v y",
+      "Ġpoli ti",
+      "Ġs ku",
+      "Ġv ÃŃ",
+      "st o",
+      "Ġ le",
+      "sk á",
+      "te l",
+      "Äį an",
+      "y nÃŃ",
+      "Ġn ÄĽ",
+      "s l",
+      "Ġdo b",
+      "Ġjs em",
+      "Ġn ynÃŃ",
+      "Ġspo leÄį",
+      "Ġbu dou",
+      "ro v",
+      "h a",
+      "Ġ ÅĻÃŃ",
+      "sk ých",
+      "Ġn ÄĽk",
+      "in u",
+      "Ġpod po",
+      "s la",
+      "n it",
+      "Ġob Äįan",
+      "Ġ M",
+      "sk u",
+      "Ġm no",
+      "ĠEvrop ské",
+      "ĠÄį len",
+      "Ġp ar",
+      "Ġv z",
+      "le žit",
+      "ra n",
+      "Ġn i",
+      "Ġpo z",
+      "Ġproto že",
+      "Ġsl ovo",
+      "Ġ rá",
+      "Ġ B",
+      "Ġz e",
+      "Ġj i",
+      "Ġk do",
+      "á d",
+      "Ġmá me",
+      "la men",
+      "Ġ U",
+      "Ġm ÃŃ",
+      "Ġpo ku",
+      "Ġt ÃŃm",
+      "s ÃŃm",
+      "Ġst ra",
+      "sk ý",
+      "f or",
+      "Ġna Å¡e",
+      "ÅĻe j",
+      "b u",
+      "Ġk a",
+      "Ġd ÄĽ",
+      "Ġdů ležit",
+      "Ġmo h",
+      "Ġd e",
+      "Ġkte rá",
+      "Ġs a",
+      "rá t",
+      "j Å¡ÃŃ",
+      "r že",
+      "Ġby l",
+      "Ġvá m",
+      "ĠÄįá st",
+      "at i",
+      "Ġté to",
+      "Ġm ůže",
+      "m á",
+      "Ġpo u",
+      "Ġvá že",
+      "Ġu ž",
+      "ch á",
+      "te Äį",
+      "so b",
+      "Ġne bo",
+      "Ġli d",
+      "s p",
+      "ĠtÄĽ ch",
+      "Ġto mu",
+      "ĠK o",
+      "Ġje Å¡tÄĽ",
+      "Ġpoku d",
+      "Ġte Äı",
+      "kra j",
+      "Ġm ez",
+      "pra v",
+      "Ġzem ÄĽ",
+      "l ou",
+      "Ġo tá",
+      "d ky",
+      "Ġtak že",
+      "r ů",
+      "Ġpro st",
+      "ov ÄĽ",
+      "Ġna Å¡i",
+      "Å¡ ÃŃm",
+      "m é",
+      "Ġs o",
+      "i st",
+      "z ÃŃ",
+      "Ġz de",
+      "Ġb ez",
+      "Ġne nÃŃ",
+      "Ġkomi sa",
+      "n ých",
+      "la st",
+      "ĠpÅĻij a",
+      "r é",
+      "Äį i",
+      "Ġjed no",
+      "Ġ A",
+      "Ġby lo",
+      "Ġmo ž",
+      "Ġby la",
+      "la t",
+      "Ġkter ý",
+      "Ġbude me",
+      "Ġuni e",
+      "Ġo p",
+      "Ġv o",
+      "h á",
+      "Ġotá z",
+      "em o",
+      "Ġd ne",
+      "Ġná s",
+      "Ġkte ÅĻÃŃ",
+      "Ġpro b",
+      "in y",
+      "Ġ ži",
+      "Ġpra c",
+      "Ġ Å¡",
+      "l nÄĽ",
+      "Ġpr vnÃŃ",
+      "ov al",
+      "in a",
+      "Ġ ž",
+      "Ġt ý",
+      "ĠKo mi",
+      "ĠpÅĻija to",
+      "Ġve li",
+      "st vÃŃ",
+      "Ġ hod",
+      "h u",
+      "Ġzd rže",
+      "k ů",
+      "Ġkdy ž",
+      "Ġd ru",
+      "ÅĻ a",
+      "ko n",
+      "ÅĻ it",
+      "Ġm a",
+      "vÄĽ t",
+      "Ġna p",
+      "sk o",
+      "k t",
+      "Ġm inu",
+      "Ġs vé",
+      "k ti",
+      "Ġd emo",
+      "Ġh ovo",
+      "Ġten to",
+      "v at",
+      "o n",
+      "ĠU kraj",
+      "Ġpro sÃŃm",
+      "Ġmno ho",
+      "b i",
+      "Ġby ch",
+      "de n",
+      "ov i",
+      "Ġv last",
+      "jÃŃ cÃŃ",
+      "ĠmÄĽ li",
+      "in á",
+      "Ġsa mo",
+      "ro dnÃŃ",
+      "kla d",
+      "Äį it",
+      "k ou",
+      "g ra",
+      "Ġveli ce",
+      "ova li",
+      "s le",
+      "Ġp ů",
+      "m ÃŃt",
+      "nÃŃ m",
+      "Ġv Å¡",
+      "Ġvel mi",
+      "ÅĻeb a",
+      "Ġpar lamen",
+      "Ġdemo kra",
+      "Ġt ÅĻeba",
+      "Ġj men",
+      "Ġ en",
+      "Ġto to",
+      "Ġ ho",
+      "Ġj de",
+      "Ġs itu",
+      "Ġ2 0",
+      "Ġch tÄĽ",
+      "Ġroz hod",
+      "Ġsitu a",
+      "c t",
+      "Ġtu to",
+      "Ġ 3",
+      "Ġch ce",
+      "ĠvÃŃ ce",
+      "Ġ L",
+      "Ġstá t",
+      "a li",
+      "Ġ g",
+      "p i",
+      "an i",
+      "Ġm ÃŃt",
+      "ra ni",
+      "ÅĻe d",
+      "Ġsku teÄį",
+      "Ġ cÃŃ",
+      "sk ou",
+      "Ġst a",
+      "Ġspo lu",
+      "v nÄĽ",
+      "st á",
+      "Ġty to",
+      "ĠE U",
+      "Ġzp rá",
+      "ha j",
+      "ov it",
+      "Ġná m",
+      "z na",
+      "Å¡e nÃŃ",
+      "dÄĽ l",
+      "Ġen er",
+      "ĠKomi se",
+      "Ġza Äį",
+      "Ġta m",
+      "Ġs p",
+      "st at",
+      "em i",
+      "Ġby chom",
+      "Ġv i",
+      "Ġs v",
+      "ÅĻe nÃŃ",
+      "sk a",
+      "Ġob la",
+      "sl ÃŃm",
+      "Ġe ko",
+      "k rát",
+      "Ġne ž",
+      "Ġt r",
+      "Ġta to",
+      "ĠvÅ¡ech ny",
+      "Ġza mÃŃt",
+      "do b",
+      "v u",
+      "r nÃŃ",
+      "Ġza haj",
+      "S P",
+      "ské ho",
+      "Ġdůležit é",
+      "Ġj in",
+      "Ġj ste",
+      "Ġ N",
+      "SP K",
+      "dky nÄĽ",
+      "Ġstá ty",
+      "Ġmy slÃŃm",
+      "Ġs y",
+      "ĠzamÃŃt nu",
+      "in an",
+      "Ġmez i",
+      "Ġ C",
+      "in ÄĽ",
+      "Ġjmen ovit",
+      "Ġv a",
+      "Ġzahaj uji",
+      "Ġj as",
+      "Ġza ji",
+      "Ġpo sla",
+      "ÅĻej mÄĽ",
+      "ch ni",
+      "pe Äį",
+      "r g",
+      "nou t",
+      "Ġži vo",
+      "Ġsamo z",
+      "st ou",
+      "sp ÄĽ",
+      "d r",
+      "no m",
+      "ze nÃŃ",
+      "no mi",
+      "cÃŃ ch",
+      "Ġs na",
+      "Ġsamoz ÅĻejmÄĽ",
+      "ĠEvrop ská",
+      "for ma",
+      "k é",
+      "ĠÄį e",
+      "Ġdne s",
+      "Ġvá l",
+      "ĠnÄĽ j",
+      "Ġs ch",
+      "Ġz mÄĽ",
+      "Ġf inan",
+      "Ġsku p",
+      "sta v",
+      "Ġ ru",
+      "Ġkoleg ové",
+      "li v",
+      "s u",
+      "st é",
+      "Ġs vo",
+      "Ġby ly",
+      "Ġje ji",
+      "Ġz na",
+      "Ġobla sti",
+      "Ġjeji ch",
+      "Ġzdrže li",
+      "s po",
+      "Ġso ci",
+      "ĠpÅĻedse dkynÄĽ",
+      "ck ých",
+      "Ġposla n",
+      "Ġne z",
+      "Ġtoho to",
+      "ro u",
+      "ov nÃŃ",
+      "Ġpo mo",
+      "v ánÃŃ",
+      "Ġje ho",
+      "Ġ rů",
+      "0 0",
+      "b e",
+      "Äį ÃŃ",
+      "Ġhod no",
+      "p ovÄĽ",
+      "u t",
+      "l ov",
+      "ova cÃŃ",
+      "j en",
+      "li k",
+      "f i",
+      "st ÃŃ",
+      "Ġkomisa ÅĻ",
+      "lo gi",
+      "Ġv Å¡i",
+      "Ġe x",
+      "ĠvÄĽ t",
+      "Ġt i",
+      "m ati",
+      "p u",
+      "ĠzamÃŃtnu to",
+      "Ġ F",
+      "ĠpotÅĻeb ujeme",
+      "ĠnÄĽj ak",
+      "Ġmnoho krát",
+      "li t",
+      "ck ý",
+      "ĠnÄĽk te",
+      "Ġu r",
+      "ĠvÅ¡i chni",
+      "ů sob",
+      "Ġka ž",
+      "Ġprob lé",
+      "Ġv ů",
+      "Å ¥",
+      "s á",
+      "ck ou",
+      "ov ý",
+      "Ġk ro",
+      "st ro",
+      "Ġo prav",
+      "Äįe nÃŃ",
+      "b a",
+      "Ġbo j",
+      "Ġzd ra",
+      "Ġeko nomi",
+      "ĠR u",
+      "Ġbudou c",
+      "te j",
+      "to m",
+      "Ġ T",
+      "Ġ D",
+      "Ġevrop ské",
+      "Ġk li",
+      "Ġvy u",
+      "ĠpÅĻedse do",
+      "k em",
+      "Ġo rg",
+      "Ġváže nÃŃ",
+      "Ġbez peÄį",
+      "Ġtom to",
+      "Ġp e",
+      "ĠtÄĽch to",
+      "Ġvy t",
+      "né ho",
+      "Ġzá kla",
+      "Ġdemokra ci",
+      "Ġ V",
+      "Ġo h",
+      "Ġ ra",
+      "Ġsou Äį",
+      "Ġkoleg y",
+      "Ġprá va",
+      "n g",
+      "Ġk ri",
+      "Ġp ak",
+      "Ġjed n",
+      "ÄĽ h",
+      "at a",
+      "pa d",
+      "Ġin te",
+      "Ġo ch",
+      "Ġpro ce",
+      "Å¡ it",
+      "mÄĽ ÅĪ",
+      "Ġk de",
+      "Ġ ÅĻa",
+      "á n",
+      "Ġs vÄĽ",
+      "nÄĽ jÅ¡ÃŃ",
+      "Ġu dÄĽ",
+      "Ġt ran",
+      "ĠskuteÄį nÄĽ",
+      "ov an",
+      "ĠpotÅĻeb a",
+      "Ġprá vnÃŃ",
+      "Ġvá s",
+      "Ġpou ze",
+      "á m",
+      "Ġ I",
+      "chá zÃŃ",
+      "Ġ H",
+      "Ġna Å¡ÃŃ",
+      "Ġu p",
+      "Ġur Äįit",
+      "sk y",
+      "Ġoprav du",
+      "Ġ lé",
+      "Ġv lá",
+      "Ġs tej",
+      "ĠnÄĽk o",
+      "Ġdi sku",
+      "Ġd ÃŃ",
+      "ĠR a",
+      "m p",
+      "Ġdru h",
+      "en ce",
+      "ĠzemÄĽ dÄĽl",
+      "Ġsoci álnÃŃ",
+      "le m",
+      "Ġnap ÅĻÃŃ",
+      "Ġsvo bo",
+      "k ce",
+      "Ġvlast nÄĽ",
+      "Ġpro je",
+      "Ġ J",
+      "le nÃŃ",
+      "Ġne s",
+      "te ch",
+      "Ġsy sté",
+      "Ġpoz mÄĽÅĪ",
+      "Ġzp ůsob",
+      "o l",
+      "ĠEvrop ÄĽ",
+      "Ġjedno t",
+      "ĠpÅĻe s",
+      "Ġchce me",
+      "é ho",
+      "k tu",
+      "mÄĽ r",
+      "n ým",
+      "ry ch",
+      "st it",
+      "Ġch ci",
+      "ži to",
+      "Ġsch vá",
+      "Ġne m",
+      "Ġrá m",
+      "ka z",
+      "Ġmůže me",
+      "ve d",
+      "ck á",
+      "g e",
+      "le žito",
+      "Ġje nom",
+      "me ná",
+      "cho p",
+      "ov ých",
+      "z en",
+      "Ġ G",
+      "ni ct",
+      "Ġdá le",
+      "Ġrů z",
+      "Ġmá te",
+      "Ġmi li",
+      "Ġpra vi",
+      "Ġzem ÃŃ",
+      "Ġoch ra",
+      "ova la",
+      "ĠnapÅĻÃŃ klad",
+      "s led",
+      "Ġk e",
+      "Ġ 4",
+      "Ġž ád",
+      "n ov",
+      "Ġpr ů",
+      "Ġji ž",
+      "Ã ³",
+      "u m",
+      "c ky",
+      "Ġin ve",
+      "h la",
+      "le p",
+      "ĠpÅĻÃŃ stup"
+    ]
+  }
+}

tokenizer_config.json

@@ -0,0 +1,68 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "(BOS)",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "(EOS)",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "(UNK)",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "3": {
+      "content": "(PAD)",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "(MASK)",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1000": {
+      "content": "(LNG)",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "1001": {
+      "content": "(SPN)",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "(BOS)",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "(EOS)",
+  "mask_token": "(MASK)",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "(PAD)",
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "unk_token": "(UNK)"
+}