Instructions to use hf-tiny-model-private/tiny-random-NatBackbone 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-NatBackbone with Transformers:
# Load model directly from transformers import NatBackbone model = NatBackbone.from_pretrained("hf-tiny-model-private/tiny-random-NatBackbone", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3673b9fc2bd82dcb3af3a5c5f163466a42e5996d58327e27b8731f6a4a7757d7
- Size of remote file:
- 339 kB
- SHA256:
- d4259fa0d5cbf5518cc7dab92eb51e2064c9949ebc6fca0f2463882e897f1843
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