Instructions to use hf-internal-testing/tiny-random-MegaForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegaForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-random-MegaForMaskedLM")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-random-MegaForMaskedLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9d113216cb14ad45050394dc5edf5a57700ef53a4e1760d8843fd91272a1feb
- Size of remote file:
- 410 kB
- SHA256:
- 7ec36a0add86cf2e4c54edd19ae44f3d407a59636ec7cd3f2c48866b25b07bb8
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