Instructions to use hf-internal-testing/tiny-random-NatBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NatBackbone with Transformers:
# Load model directly from transformers import NatBackbone model = NatBackbone.from_pretrained("hf-internal-testing/tiny-random-NatBackbone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac9ed92b5e29a4bcdee2f5d863e692ae5b6541c10f2d6407945c861776643288
- Size of remote file:
- 339 kB
- SHA256:
- b437a3c11a7746cfc0937e28216b2b416164bce73aa876ff73c4723d1ef6793a
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