Instructions to use Jeevesh8/t5-small_re-cogs_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_10 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_10") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d373ded093135d518f2fd29be165aeccfb22e42537c108fb91aaf58eb9571c4
- Size of remote file:
- 308 MB
- SHA256:
- 624b039f43dd04c067de936ea66e5222384910e1f081b5234c7c2805df9bf603
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.