Instructions to use hf-tiny-model-private/tiny-random-GitModel 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-GitModel 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-GitModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-GitModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-GitModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a122644b29afa7d1645c0e8d52f2459a387ba8ad8d09d84e9642013d753d3f3
- Size of remote file:
- 343 MB
- SHA256:
- 7d4d71232850d849aea1c28c31733e96a53bf0d9a32865d5b845ef1f58b96fe5
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