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/00a4c6bdfebf8fb660cc2c1de33254bfdc46d5d6/model.safetensors
- Command line
-
hf download hf://luohuashijieyoufengjun/ner_based_bert-base-chinese@00a4c6bdfebf8fb660cc2c1de33254bfdc46d5d6/model.safetensors
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curl -L -o model.safetensors https://huggingface.co/luohuashijieyoufengjun/ner_based_bert-base-chinese/resolve/00a4c6bdfebf8fb660cc2c1de33254bfdc46d5d6/model.safetensors
407 MB
- Xet hash:
- d589b2cf2489d68ac588b5826390e4b5072d590fb2e5be5f5eba82f3a60eb080
- Size of remote file:
- 407 MB
- SHA256:
- 06e5ec2e381fb0e60eb8daeb400e65f7737b3a91322c0f3c7c68983023b0c228
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