Instructions to use hf-internal-testing/tiny-random-T5ForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-T5ForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-T5ForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-T5ForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 862c87839006f71fcf4dada8d5841a6cde129bb89d6da6e1b3d4f3cf5a129eab
- Size of remote file:
- 4.47 MB
- SHA256:
- 42e7f46e1c2edf50cef32053c6f0b2fe0536029617f3e6f4daaaa0a8f8d47c23
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