Instructions to use Jeevesh8/t5-small_re-cogs_13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_13 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_13") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_13") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 114541a563b64c257145fc2ce8503335b83334fc14b40340dfa6a3b0befccf60
- Size of remote file:
- 308 MB
- SHA256:
- 5a8e771b1cd1fe9b505fe9a6e45c5595d053c19719f776c8c24b48f195594d57
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