Instructions to use luohuashijieyoufengjun/ner_based_bert-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luohuashijieyoufengjun/ner_based_bert-base-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="luohuashijieyoufengjun/ner_based_bert-base-chinese")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("luohuashijieyoufengjun/ner_based_bert-base-chinese") model = AutoModelForTokenClassification.from_pretrained("luohuashijieyoufengjun/ner_based_bert-base-chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from luohuashijieyoufengjun/ner_based_bert-base-chinese: direct link, hf CLI and curl.
- Browser
- Download file 407 MB
-
https://huggingface.co/luohuashijieyoufengjun/ner_based_bert-base-chinese/resolve/main/model.safetensors
- Command line
-
hf download hf://luohuashijieyoufengjun/ner_based_bert-base-chinese/model.safetensors
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curl -L -o model.safetensors https://huggingface.co/luohuashijieyoufengjun/ner_based_bert-base-chinese/resolve/main/model.safetensors
407 MB
- Xet hash:
- 48958abb8857d495bd413307b98e7277c98935ad5d7bd0c09b7c05147abc565f
- Size of remote file:
- 407 MB
- SHA256:
- d0cb6fdc369784e1c5c2f47b17081f2e0f34da2dbaf0c8f592763ef8535bd608
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