Instructions to use hf-tiny-model-private/tiny-random-MegaModel 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-MegaModel 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-MegaModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-MegaModel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad885921f9bc3d3745f5997ef69f650f8667dac9bd78d7a5a30f5edf26b2aaf9
- Size of remote file:
- 409 kB
- SHA256:
- 0137deff84c5445497b33eb836580025468a3b0ea9ffc0fab60f9f0eab91849d
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