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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 703b4ca9b7aa926649fe301192c3fb2f2b2e16a2e2aecd19878deed81685bb5a
- Size of remote file:
- 4.08 MB
- SHA256:
- cda36ee976e7606b0b3b9e4196c595a3d4ec262c7ed5de8d71bac77fc7f59ba5
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