Instructions to use Xenova/Bio_ClinicalBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/Bio_ClinicalBERT with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('fill-mask', 'Xenova/Bio_ClinicalBERT');
Update config.json
Browse files- config.json +3 -0
config.json
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{
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"_name_or_path": "emilyalsentzer/Bio_ClinicalBERT",
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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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{
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"_name_or_path": "emilyalsentzer/Bio_ClinicalBERT",
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"architectures": [
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"BertForMaskedLM"
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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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