Instructions to use hf-internal-testing/tiny-random-RobertaForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RobertaForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-RobertaForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RobertaForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-RobertaForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fdb5c893ff6a0d887957479ebf52f4d91c331cc99cfe77957f931588ba608ae
- Size of remote file:
- 455 kB
- SHA256:
- fdeb5975ceceb87fa6d8aa02ddd42aeece5a93b27535f1f5cf3e868b4ce7ad0a
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