Instructions to use hf-internal-testing/tiny-random-GitModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GitModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-GitModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-GitModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-GitModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6db42401e7bd8924afa1975c210d967bbf495c521283f1d6f386bf1a1fe21a1a
- Size of remote file:
- 343 MB
- SHA256:
- cb9ce6ad7eb674dc36df73f98af90ee7e4ca77115ea6bb35f2d31ee2f3683b7a
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