Instructions to use hf-internal-testing/tiny-random-NystromformerModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NystromformerModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-NystromformerModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-NystromformerModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-NystromformerModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bcdd21a139947d8b680807e7fb0017a03ec9a13afc130287c3065a52ee5329c
- Size of remote file:
- 4.06 MB
- SHA256:
- a47a275a715f39bef334a0cac46b51ce123d539deb607ce750f7302b0ff4da67
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