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:
- 9247e8fca804dfd25c0b7658258201f4e68951693a9c26022d8681215c05a0e2
- Size of remote file:
- 410 kB
- SHA256:
- c038f04a4fec68e7b8caacac4a891a101a08d8cd8d1b38ee6ef09145d0a9b7f6
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