Instructions to use Jeevesh8/t5-small-cogs_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_10 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_10") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 906b7b7e9983c5ac1aaaa39258e8af1581db7d525d383d09f1678b7d2cd3426c
- Size of remote file:
- 242 MB
- SHA256:
- 69a7e3e2311a7f6460c9517a0c057d035caf7992733b64a4d92c1eb704d9696b
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