Instructions to use hf-internal-testing/tiny-random-T5ForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-T5ForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-T5ForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-T5ForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-T5ForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20bbc23f0c77784306d2e8defd117b7ae4f09d74b3b80bc3238dd8401c429dd9
- Size of remote file:
- 4.49 MB
- SHA256:
- 69a52e8d5d953c320e255f3af3b5438c2227ea16180a1e43c7bc4fb2d976042c
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