Instructions to use hf-tiny-model-private/tiny-random-BigBirdForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-BigBirdForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-BigBirdForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17f4b0857a60f5cdc037084469c77cf0b6a077f6f61c86078331e7ba86ae7107
- Size of remote file:
- 6.55 MB
- SHA256:
- 141a71b178aa0c2fd54676064c49e3b47d932be3800386b32e1f46103728f978
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