Instructions to use Jeevesh8/t5-small_re-cogs_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_5") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 854cc0deccb61c337a39e0ba6eb0002f8ec2ed3bf95f4a0e9088ec28b33db25d
- Size of remote file:
- 308 MB
- SHA256:
- a9bc32ff4d716d8570e90968f61a98bf87ccfae6666cabcfd408782660057215
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