Instructions to use yubol/bert-finetuned-ner-30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yubol/bert-finetuned-ner-30 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yubol/bert-finetuned-ner-30")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yubol/bert-finetuned-ner-30") model = AutoModelForTokenClassification.from_pretrained("yubol/bert-finetuned-ner-30", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yubol/bert-finetuned-ner-30: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/yubol/bert-finetuned-ner-30/resolve/main/training_args.bin
- Command line
-
hf download hf://yubol/bert-finetuned-ner-30/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yubol/bert-finetuned-ner-30/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- 609599ff04294c05cc70716deca56cf799506c0489178ff34cd91092b9f86971
- Size of remote file:
- 3.38 kB
- SHA256:
- db5b6cfea429316138f9cfb45670a4c313f3154efe23b549a784cf7ed5c859a8
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