Instructions to use hf-tiny-model-private/tiny-random-NystromformerForTokenClassification 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-NystromformerForTokenClassification 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-NystromformerForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-NystromformerForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-NystromformerForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e05192066cf892e6b19308ae6bf3124c86d654098ee506d9ccd158d3195beda4
- Size of remote file:
- 4.06 MB
- SHA256:
- 8d91cab70f2d018d713fc176c59fc1300f97cc826a4307be630707ad35c65e4f
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