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:
- f862472fc39d72ba8d4aa09ceb81c62c8d1e86eb2d215c24c7cd81ebc41b0813
- Size of remote file:
- 406 kB
- SHA256:
- b4a6b69e314617587b5204dcb884c49defadac1436ad9451da6e8c4c2464fbd3
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