Instructions to use microsoft/BiomedNLP-BiomedELECTRA-base-uncased-abstract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/BiomedNLP-BiomedELECTRA-base-uncased-abstract with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/BiomedNLP-BiomedELECTRA-base-uncased-abstract", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 9207c35
Update config.json
Browse files- config.json +0 -3
config.json
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{
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"architectures": [
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"BertForMaskedLM"
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],
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"model_type": "bert",
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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{
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"model_type": "bert",
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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