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:
- 9da5c897c157032e6406c3d103e6309ce3dcfe445a99005a218860f9b9dd662e
- Size of remote file:
- 409 kB
- SHA256:
- 8648b8b0b75d4f9e9addf9347b43bb050b5dab1cdf9b644158fce619108535a5
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