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:
- b98610a3b46351902b87cd57081ef8a4851fe86b77d723b699b90f0f9e2b45a2
- Size of remote file:
- 410 kB
- SHA256:
- a5d3afeff2527ab9067f34500ab793003cc55c01ddb0c2c9cecdd07116725110
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