Instructions to use emilyllii/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilyllii/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="emilyllii/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("emilyllii/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("emilyllii/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from emilyllii/bert-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/emilyllii/bert-finetuned-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://emilyllii/bert-finetuned-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/emilyllii/bert-finetuned-ner/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 06b37d394d562539a3b6f659549606d3068b14bc3724dec424a2c89b4a8ee433
- Size of remote file:
- 5.11 kB
- SHA256:
- f3a24c2714ce1f490dc127ad65e63844d4fdff8ef5cecff279e4696a221cc9b7
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