Instructions to use bisoye/token_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bisoye/token_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bisoye/token_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bisoye/token_classification") model = AutoModelForTokenClassification.from_pretrained("bisoye/token_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bisoye/token_classification: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/bisoye/token_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://bisoye/token_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bisoye/token_classification/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 5c8c0eb681b5502ea4a897d8b4c69414ba07bf9b1de7cb4548c154d21474ad15
- Size of remote file:
- 5.24 kB
- SHA256:
- fab34fc84554cf5980f7988b42734c70167607cf6ea0eb721e193f709aa33800
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