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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2d451671d3bf069edf4bfd401b2adc2b0b9f3118175e074f479a49e683d1f1c
- Size of remote file:
- 4.47 MB
- SHA256:
- be72354fb984e5f1ee0daf2e562b9313c44f9cd20f2ee2a68abd6dcb6a845db0
路
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