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:
- 4f481c85dd7a3ad2381631bb195858c22ead6bfd31e5b8642c7eb92045798330
- Size of remote file:
- 409 kB
- SHA256:
- 71cf8201ee745518bf2e7d4f6d3c054ba9cf008ff95ef91bbfeca4d073affea0
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