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span-marker-base-model-detection

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train · 28 rows

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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