Instructions to use SIRIS-Lab/AIObioEnts-core-pubmedbert-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SIRIS-Lab/AIObioEnts-core-pubmedbert-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SIRIS-Lab/AIObioEnts-core-pubmedbert-full")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("SIRIS-Lab/AIObioEnts-core-pubmedbert-full") model = AutoModelForTokenClassification.from_pretrained("SIRIS-Lab/AIObioEnts-core-pubmedbert-full") - Notebooks
- Google Colab
- Kaggle
Upload BertForTokenClassification
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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{
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"_name_or_path": "./trained_models/pubmedbert-full",
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"architectures": [
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"BertForTokenClassification"
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],
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{
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"_name_or_path": "./trained_models/v3/pubmedbert-full/trained_model",
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"architectures": [
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"BertForTokenClassification"
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],
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d039224d095f717de670f2b80a955deb496542eb659377939031c4d9c6491d49
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size 435648380
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