Instructions to use Jeevesh8/t5-small_re-cogs_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_0") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d74291fdeb21a9812fb7617e88aad444047b2524e8a8e46e02535d293d3d838
- Size of remote file:
- 308 MB
- SHA256:
- ca2dad266de4e284d52f60903a9a29819ad681cddac4c9d821bef5662cd7ebfd
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