Instructions to use capi2list/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use capi2list/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="capi2list/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("capi2list/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("capi2list/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from capi2list/bert-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/capi2list/bert-finetuned-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://capi2list/bert-finetuned-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/capi2list/bert-finetuned-ner/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- b83a7b9894b213259a09fb61dc7e631210c1ecddf53b3e1156c6d0de36f6858f
- Size of remote file:
- 5.2 kB
- SHA256:
- d15eccf91243638a8c3479fba97a3f67de133f55a8cc13e36cec08cf7ba95143
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