Instructions to use Jeevesh8/t5-small_re-cogs_19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_19 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_19") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_19") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c152527fe0a4a93fb2c5064c945565ccd73a4ab04c7f5b83be9297b78ec2332
- Size of remote file:
- 308 MB
- SHA256:
- 785d3f1d4c713d47b19db5f2fb933373ae26d6094ea75a1c97e0ab7bd2c31ff0
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