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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0de04565f681f738f520eebc41839affc6d364f33d5d1c935df69c007b0d357c
- Size of remote file:
- 4.08 MB
- SHA256:
- 98d0de75b52e6400f9a6b144f3138638e0e3bd5d2c0f07e917e905db5d930f29
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