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:
- f85e12da6a3ad40f55dba575967c1f726dad50e2a373f1d44792ff082faa328c
- Size of remote file:
- 406 kB
- SHA256:
- 0d3d509232297b243e740366c06b00d7fb7495d79af35d083091d9b483082f95
路
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