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:
- 2f83a1719dec5af6d9bc46e635a1841c1bda1c3a7390ad0650588b8f2fe8c735
- Size of remote file:
- 409 kB
- SHA256:
- 9574c08fcaf02d05f429d102dc7c58b5777c9a44dac1263a30f102365ad7cfa6
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