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:
- 607264e066f6001a23f90a119d7b023387c907a07cc0a0d934d2a34a539619a3
- Size of remote file:
- 4.42 MB
- SHA256:
- 8826f18a081a086e7911dafcbdf116c5f5a711d2014acf326887e5bd0a59c918
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