Instructions to use hf-internal-testing/tiny-random-UMT5ForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UMT5ForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-UMT5ForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-UMT5ForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-UMT5ForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ebc5fc1bb15c81a2c66da86414e193f68bb350bb8900bb2f16425ce2e895d15
- Size of remote file:
- 33.2 MB
- SHA256:
- 75ef09d838978c0a0bb98fa577e9c512a6a9cc064e26470ab7baa156b848ed29
路
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