Instructions to use Jeevesh8/t5-small_re-cogs_11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_11 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_11") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_11") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7087bfce359ec05f01ffec4187bcbafd0b987ebf56ba975203a1b6c8ee4c4149
- Size of remote file:
- 308 MB
- SHA256:
- 78509529e80b5a2fdad4708ab15c51e1826c34ee6bd8a594b6d1e95b140de0e3
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