Instructions to use Jeevesh8/t5-small_re-cogs_15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_15 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_15") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_15") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83317fefe2e8373f92f517e91fa6cfcf3aa6bb9d772217a7a5f784d58944bfab
- Size of remote file:
- 308 MB
- SHA256:
- 54d7bcd9ef69381355bd72257d115d45cdb49705ae429ce768ea16ae47d8b18c
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