Instructions to use Jeevesh8/t5-small_re-cogs_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_1") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23563ea55cac2c9be5e50ac5c85fc5c353386071f1850cddcc2d4f686b0804a5
- Size of remote file:
- 308 MB
- SHA256:
- 13c2466ddb2d19efd1e0e20c29657ff5b70bbd8b336abe8ee3d4056fd0a096e2
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