Instructions to use Jeevesh8/t5-small_re-cogs_18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_18 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_18") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_18") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 190a9d208bf3895337b168179a64cfb44b5c00757c15fe88e50bc758c7f9f9b2
- Size of remote file:
- 308 MB
- SHA256:
- f80eeb46f0f469ffec00cfb2e2281c7ee5b9de78684f6dc4637eba9b805b1849
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