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:
- bed3ae3f08102cb013b367de512afd50237a4e196e3acc9d44655e49314d33ae
- Size of remote file:
- 4.49 MB
- SHA256:
- 73adc75c458ea1262e816235e77e5df66ccb752fdd1c3f1ccca6ebc8cae4d4a5
路
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