Instructions to use Jeevesh8/t5-small-cogs_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_20 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_20") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_20") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efa29871f488bbbc36588220dd71bdcf0bcfa7bc13b55898192281cccf389449
- Size of remote file:
- 242 MB
- SHA256:
- 5dec3a5519acb43d8c983a32f8379d85c8273090bea0736a0658df44619ec21d
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