Instructions to use Xenova/bert-base-chinese-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/bert-base-chinese-pos with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('token-classification', 'Xenova/bert-base-chinese-pos');
Upload folder using huggingface_hub
Browse files- config.json +1 -1
- onnx/model.onnx +1 -1
- onnx/model_quantized.onnx +2 -2
config.json
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"tokenizer_class": "BertTokenizerFast",
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"transformers_version": "4.
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 21128
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"tokenizer_class": "BertTokenizerFast",
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"transformers_version": "4.29.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 21128
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onnx/model.onnx
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size 407158988
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onnx/model_quantized.onnx
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size 102949264
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