Instructions to use hf-internal-testing/tiny-random-NatModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NatModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-NatModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-NatModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4783f45dc8f7cb9077cdb1c070adc4cafd2687f44279ea17c776e3bc4f58416
- Size of remote file:
- 338 kB
- SHA256:
- 578aa5324a69e378742946dcf59b5a2bef60e242bc94c61c80f77983ebd212ce
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