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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e7c0f6a9baaafb96cc1596d5117f3e0baff3cd7b56d4962bf1ec91ebcca5fc4
- Size of remote file:
- 386 kB
- SHA256:
- c62b0bff12b7f77870ca8a8e05a1cafaa3a3ebc1c49b9e2899ba3d8b878ee2ed
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