Instructions to use Jeevesh8/t5-small_re-cogs_17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_17 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_17") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_17") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afeecf84bf20ae3bb7dec26388d553ed7c44787a2d834d142c9120f673a259f7
- Size of remote file:
- 308 MB
- SHA256:
- d50fd150f07a3d6205d24428f3b129b58fe1e70e39e317cdeb36a85f12e4e877
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