Instructions to use gil923/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gil923/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gil923/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gil923/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("gil923/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gil923/bert-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/gil923/bert-finetuned-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://gil923/bert-finetuned-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gil923/bert-finetuned-ner/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 91cdc814971fed909e2993e55b94c4b8e6a11406f777e442a155a605f05d3afd
- Size of remote file:
- 5.84 kB
- SHA256:
- e29f6964964931b9f8b9724c1cf3fcc2cd2079a4f301e2928d52a3962be8df94
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