Upload quantized ONNX model
Browse files- .gitattributes +0 -34
- README.md +32 -0
- onnx/config.json +30 -0
- onnx/model.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- onnx/ort_config.json +33 -0
- tokenizer/special_tokens_map.json +37 -0
- tokenizer/tokenizer.json +0 -0
- tokenizer/tokenizer_config.json +65 -0
- tokenizer/vocab.txt +0 -0
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*.onnx filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: optimum
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tags:
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- onnx
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- quantized
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- int8
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- intent-classification
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base_model: rbojja/intent-classification-small
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---
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# Intent Classification ONNX Quantized
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Quantized ONNX version for fast inference.
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## Usage
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```python
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from optimum.onnxruntime import ORTModelForFeatureExtraction
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from transformers import AutoTokenizer
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model = ORTModelForFeatureExtraction.from_pretrained("pythn/intent-classification-onnx-quantized")
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tokenizer = AutoTokenizer.from_pretrained("pythn/intent-classification-onnx-quantized")
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text = "I want to book a flight"
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model(**inputs)
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```
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## Performance
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- ~4x smaller size
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- 2-4x faster inference
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- Minimal accuracy loss
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onnx/config.json
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{
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 384,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.53.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b0644039b6d90d9b9d618123e0e2d703cb293feb048d454b8cc4fec76a21b73
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size 133126567
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc5a849e41195aff64198fee8d83928ab6c4e48dcb8afb76b8108482c867ec11
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size 33910915
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onnx/ort_config.json
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{
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"one_external_file": true,
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"opset": null,
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"optimization": {},
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"quantization": {
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"activations_dtype": "QUInt8",
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"activations_symmetric": false,
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"format": "QOperator",
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"is_static": false,
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"mode": "IntegerOps",
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"nodes_to_exclude": [],
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"nodes_to_quantize": [],
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"operators_to_quantize": [
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"Conv",
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"MatMul",
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"Attention",
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"LSTM",
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"Gather",
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"Transpose",
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"EmbedLayerNormalization"
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],
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"per_channel": false,
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"qdq_add_pair_to_weight": false,
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"qdq_dedicated_pair": false,
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"qdq_op_type_per_channel_support_to_axis": {
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"MatMul": 1
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},
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"reduce_range": false,
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"weights_dtype": "QUInt8",
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"weights_symmetric": true
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},
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"use_external_data_format": false
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}
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tokenizer/special_tokens_map.json
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{
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"cls_token": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer/tokenizer.json
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tokenizer/tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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"max_length": 512,
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"model_max_length": 512,
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"never_split": null,
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"pad_to_multiple_of": null,
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"pad_token": "[PAD]",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"sep_token": "[SEP]",
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"stride": 0,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "[UNK]"
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}
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tokenizer/vocab.txt
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