Instructions to use Jeevesh8/t5-small_re-cogs_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_12") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de7f504dda39f7c3a7204fa8d94dc6e7619e3f8cbb1e7eb5f68f6cf636f2dc57
- Size of remote file:
- 308 MB
- SHA256:
- 426186c19d419c6bfdfc07c6da3c9bb03fbf80ce4574603aba78bbe2279a7703
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