Instructions to use Jeevesh8/t5-small_re-cogs_22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_22 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_22") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_22") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d85a9ac83b0f1b015851381ceff6bf72b89d4f53b0690cfada5d307c239637c
- Size of remote file:
- 308 MB
- SHA256:
- 780f00aee512b733c22f3d4cb564f60dba170217224b57ef336fa44b21e20882
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