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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37825a03e6d36e09c99ae8650d6a82e3cc4bdd0396992c535d7245a6660c3d9d
- Size of remote file:
- 33.2 MB
- SHA256:
- a379b72263bb9f5dcb2662e9529d192ff239125c1766f3ce76ee58699d3ea881
路
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