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:
- fdbcf500467e2de7a7a1e3d76b9475697ba889c483f5198273c3d2e8b78efe3d
- Size of remote file:
- 386 kB
- SHA256:
- 0f87bf79b10223f631ef0f0029dcfe40b8706f2f2ecf88647088c6823da9b621
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