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:
- 2e1e73936c01680e213af2fc36ed99d61e69ddb61cef70880b08d108d16d35c1
- Size of remote file:
- 409 kB
- SHA256:
- 721a681b57b5a4f4f1ef794cc630236099de5062db4da8cb004d24a1171ac33b
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