Instructions to use Jeevesh8/t5-small_re-cogs_23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_23 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_23") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_23") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4656bc0e46a526566c0f7e07d92ba090e29faacb5e6eb1ed9f9062800939ba68
- Size of remote file:
- 308 MB
- SHA256:
- e42b8faa05d0edbdfb5af838273d426a2bfc1bbaf048c0b2b5c071fdaeee106e
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