Instructions to use hf-internal-testing/tiny-random-NystromformerForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NystromformerForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-NystromformerForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-NystromformerForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-NystromformerForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41338f76aaa172cf478db089a31b3d04ba65facb936e62ad26455d10ae8fd4f3
- Size of remote file:
- 4.06 MB
- SHA256:
- d2ad4e5534ecaf0e67ceb6e47cd778d71b64b2a6ffebbd8623670eceea5a1ad9
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