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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2f68d3682f31a9592d0e3efff19c5ba53eaa8517107b0aeba0196755c767163
- Size of remote file:
- 4.08 MB
- SHA256:
- 533129ed8c2c52d0377987114649ecee84b749191142ed1a73e3bdb99df95b21
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