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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 640ce69a904ffe9376f868150a232d161bf6681f90b7b322c98210027113a5da
- Size of remote file:
- 406 kB
- SHA256:
- 1a425c1157175b4dea14d586b8bcfcb7fee832bc56a9346a4bf95323f3772a29
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