Instructions to use Jeevesh8/t5-small-cogs_22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_22 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_22") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_22") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e159fe3aaa76115277191c1e06071332fdf2fa27bb3f018c4b217efd087f6c8
- Size of remote file:
- 242 MB
- SHA256:
- 9b8d8f9653e42d3f20aa93fa05bf5d6a7350b37d135d9b2661500a77d73dc213
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