Instructions to use MM2157/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MM2157/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MM2157/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MM2157/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("MM2157/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MM2157/bert-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/MM2157/bert-finetuned-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://MM2157/bert-finetuned-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MM2157/bert-finetuned-ner/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- 7b07db7225508c64b8cffd001d47c0f6db59c124f50667d3924e91acc3fb9ac2
- Size of remote file:
- 3.31 kB
- SHA256:
- 03d08805757f744ac11ba43c3d81317a8ed0c10d1399406ede3168813700038b
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