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:
- dbd53fd64817c9d1faa88b04c60c1a82763ae45cc1a9eda3447e15dce23c8554
- Size of remote file:
- 409 kB
- SHA256:
- 73ddebd34d78f17508f5997835521423d6ae60a75ebc03a982a17750aacf3beb
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