Instructions to use Xenova/bert-base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/bert-base-NER with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('token-classification', 'Xenova/bert-base-NER');
Commit History
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Add/update the quantized ONNX model files and README.md for Transformers.js v3β
Verified signature## Applied Quantizations ### β Based on `model.onnx` *with* slimming β³ β `int8`: `model_int8.onnx` (added) β³ β `uint8`: `model_uint8.onnx` (added) β³ β `q4`: `model_q4.onnx` (added) β³ β `q4f16`: `model_q4f16.onnx` (added) β³ β `bnb4`: `model_bnb4.onnx` (added) ### β Based on `model.onnx` *with* slimming β³ β `int8`: `model_int8.onnx` (added) β³ β `uint8`: `model_uint8.onnx` (added) β³ β `q4`: `model_q4.onnx` (added) β³ β `q4f16`: `model_q4f16.onnx` (added) β³ β `bnb4`: `model_bnb4.onnx` (added)9115307
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[Automated] Update base model metadataβ
Verified signatureSet base model to "dslim/bert-base-NER"c1464d2
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Upload fp16 ONNX weights
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Upload folder using huggingface_hub
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Upload README.md with huggingface_hub
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Upload folder using huggingface_hub
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Upload README.md with huggingface_hub
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initial commit
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