Instructions to use coign/bert_finetuned_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coign/bert_finetuned_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="coign/bert_finetuned_ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("coign/bert_finetuned_ner") model = AutoModelForTokenClassification.from_pretrained("coign/bert_finetuned_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from coign/bert_finetuned_ner: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/coign/bert_finetuned_ner/resolve/main/training_args.bin
- Command line
-
hf download hf://coign/bert_finetuned_ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/coign/bert_finetuned_ner/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- d239be18283f43b8cce000751fb3d313f089e3cfc0f3a88502e64838e120f050
- Size of remote file:
- 4.92 kB
- SHA256:
- d295b770c179081ffe69d7790566f0a28e68b12fa4a2a109a4e4b71ad4f079f3
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