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:
- 00d72c03ccfcbfee42c16ec63feddc0bd04b940dad1550a1f73c83231b8124b3
- Size of remote file:
- 4.08 MB
- SHA256:
- 828f93b4675c54c7af9e46e3fd46cc55735704765fcb87c837eb1435ae3539bd
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