Instructions to use hf-internal-testing/tiny-random-BigBirdForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BigBirdForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-BigBirdForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BigBirdForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-BigBirdForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 856a411e842844c95219c756dc7fcf926bbc5173fb95cc3a302c4118323408b4
- Size of remote file:
- 6.55 MB
- SHA256:
- 17fe3a633c7044a129e6c29ed0c40abcc8dd4b6005432117dc7c1609e41631e6
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