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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bisoye/token_classification") model = AutoModelForTokenClassification.from_pretrained("bisoye/token_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2b73cd367e4a3448342af6597e92eb78d976d88ccf6e1df6465963f46030904
- Size of remote file:
- 261 MB
- SHA256:
- 66dd7cda4c4e9505fd950de8e12e5b390a3a8516b19e7ceeeb846f4bbd04a9e0
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