Instructions to use Jeevesh8/t5-small_re-cogs_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_6") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ea11f14fe7118a801a04e4a9900343ddc3847a50882b4e9283507ffd0859d0b
- Size of remote file:
- 308 MB
- SHA256:
- f9c8f80dfa34201943c2db4f6ea5ba2cc29121dd90590e75304794b67a2a8e97
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