Instructions to use hf-tiny-model-private/tiny-random-NystromformerModel 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-NystromformerModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-NystromformerModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-NystromformerModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-NystromformerModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5acb50e7e6071ec42d24fe90bb0199b9db059b4f2c339a647f41795b372ea3f1
- Size of remote file:
- 4.06 MB
- SHA256:
- 36a01d740b99835847e6d455f9cd0a8da20d1f08ba4ee7358f7ee82a30936363
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