Instructions to use peft-internal-testing/tiny-random-T5ForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peft-internal-testing/tiny-random-T5ForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peft-internal-testing/tiny-random-T5ForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("peft-internal-testing/tiny-random-T5ForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee830002e24c8d66113fc703a81bd3fca0851bc5481216b502fac506b753e899
- Size of remote file:
- 4.47 MB
- SHA256:
- fbccce92e425b29af5d5fcbcee6b586aff68ff6ac97c52baa76458ae3b3a207b
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