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:
- a4b4714540701ed91e4b06b3a0b98d5ed279f55b5337727f9d31970c6d743644
- Size of remote file:
- 409 kB
- SHA256:
- 103d98d2b9274177ded4e2cc0c8b8077c3769452927801bf941874aef16b927b
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