Instructions to use hf-internal-testing/tiny-random-MegaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MegaModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MegaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a1fe4af3eb2e78bff0a35011b73bd9e144e9c0b204f53450e4654e9f8e31832
- Size of remote file:
- 409 kB
- SHA256:
- b9b5db87f5294bdde10db74a5541f23112aec7dd853eeb5ce21fa6b9ac38e8ad
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