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:
- e645b0f0fe99af1b83b2dc7b9daf0c48f03834e4b4ec9e2712042e36011448fa
- Size of remote file:
- 409 kB
- SHA256:
- f6017cf4d29eac35709af4e7e2d358c03bd9f9060fea941ccd2ee8052245c04f
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