Instructions to use Jeevesh8/t5-small_re-cogs_16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_16") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5db32567236086f7e735d33e54b0307f3220844a64e8f2fb02e18ed08b9b5597
- Size of remote file:
- 308 MB
- SHA256:
- 8ed333f08b3884832eadc22f6d51614201db71bf9acd4512f347ec06335681f3
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