Nr
int64 1
28
| Model ID
stringclasses 28
values | Base Model ID
stringclasses 13
values |
|---|---|---|
1 | tomaarsen/span-marker-roberta-large-fewnerd-fine-super | roberta-large |
2 | tomaarsen/span-marker-bert-base-fewnerd-fine-super | bert-base-cased |
3 | tomaarsen/span-marker-bert-tiny-conll03 | prajjwal1/bert-tiny |
4 | tomaarsen/span-marker-bert-tiny-fewnerd-coarse-super | prajjwal1/bert-tiny |
5 | tomaarsen/span-marker-xlm-roberta-large-conll03 | xlm-roberta-large |
6 | tomaarsen/span-marker-xlm-roberta-large-conll03-doc-context | xlm-roberta-large |
7 | tomaarsen/span-marker-xlm-roberta-large-conllpp-doc-context | xlm-roberta-large |
8 | tomaarsen/span-marker-roberta-large-ontonotes5 | roberta-large |
9 | tomaarsen/span-marker-xlm-roberta-base-fewnerd-fine-super | xlm-roberta-base |
10 | krinal/span-marker-robert-base | roberta-base |
11 | tomaarsen/span-marker-xlm-roberta-large-verbs | xlm-roberta-large |
12 | tomaarsen/span-marker-xlm-roberta-base-multinerd | xlm-roberta-base |
13 | tomaarsen/span-marker-mbert-base-multinerd | bert-base-multilingual-cased |
14 | lxyuan/span-marker-bert-base-multilingual-cased-multinerd | bert-base-multilingual-cased |
15 | tomaarsen/span-marker-bert-base-ncbi-disease | bert-base-cased |
16 | tomaarsen/span-marker-bert-base-acronyms | bert-base-cased |
17 | tomaarsen/span-marker-bert-base-uncased-acronyms | bert-base-uncased |
18 | lxyuan/span-marker-bert-base-multilingual-uncased-multinerd | bert-base-multilingual-uncased |
19 | tomaarsen/span-marker-bert-base-cross-ner | bert-base-cased |
20 | tomaarsen/span-marker-bert-base-uncased-cross-ner | bert-base-uncased |
21 | stefan-it/span-marker-gelectra-large-germeval14 | deepset/gelectra-large |
22 | gwlms/span-marker-bert-germeval14 | gwlms/bert-base-dewiki-v1 |
23 | gwlms/span-marker-token-dropping-bert-germeval14 | gwlms/bert-base-token-dropping-dewiki-v1 |
24 | gwlms/span-marker-teams-germeval14 | gwlms/teams-base-dewiki-v1-discriminator |
25 | ashishpatel26/span-marker-bert-base-fewnerd-coarse-super | bert-base-cased |
26 | ashishpatel26/span-marker-roberta-base-conll03 | roberta-base |
27 | tomaarsen/span-marker-bert-base-uncased-keyphrase-inspec | bert-base-uncased |
28 | tomaarsen/span-marker-bert-base-uncased-bionlp | bert-base-uncased |
SpanMarker Base Model Detection
It is relative simply to determine base model of a fine-tuned SpanMarker model:
import os
from huggingface_hub import login, HfApi
hf_token = os.environ.get("HF_TOKEN")
login(token=hf_token, add_to_git_credential=True)
api = HfApi()
Please make sure that HF_TOKEN is set as environment variable.
After that, list of all SpanMarker models can be retrieved and configuration file is parsed.
Please make sure that span-marker library is installed:
from span_marker import SpanMarkerConfig
f_out = open("span_marker_base_model_detection.csv", "wt")
f_out.write("Nr,Model ID,Base Model ID\n")
counter = 1
for span_marker_model in api.list_models(filter="span-marker"):
try:
config = SpanMarkerConfig.from_pretrained(span_marker_model.modelId)
base_model = config.encoder["_name_or_path"]
f_out.write(f"{counter},{span_marker_model.modelId},{base_model}\n")
counter +=1
except Exception as e:
print(e)
f_out.close()
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