Instructions to use trl-internal-testing/tiny-T5ForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trl-internal-testing/tiny-T5ForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("trl-internal-testing/tiny-T5ForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("trl-internal-testing/tiny-T5ForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bd6b2d99509301f648196f422e9cab8aa8cde22d1b698c96f81c670c7f4f832
- Size of remote file:
- 14.5 MB
- SHA256:
- 0392a21c3b47155e8c64eb90ca533423aca98a1f6614a991c2e23a5a3c7705a3
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