Instructions to use hf-internal-testing/tiny-random-MegaForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegaForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-MegaForQuestionAnswering")# Load model directly from transformers import AutoModelForQuestionAnswering model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-MegaForQuestionAnswering", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b5f24cb1979d5305bee4fb0829f971cee92483ea69fe8cec0a74b80f6e0cecb
- Size of remote file:
- 382 kB
- SHA256:
- 54671d0f15b6c6c6bf412729a24817fb2678e652f18c3a38196984715bcf78f5
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