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:
- 1e3588455a470e40a04221ac2d1033fc7ebf65acda815cda4f00db4633dfc1c3
- Size of remote file:
- 406 kB
- SHA256:
- c86d8ecbd4879bf212865424c6a0b3d60a3b3117baf9b0dd760e689e840cc901
路
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