Instructions to use Jeevesh8/t5-small_re-cogs_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_9 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_9") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca69ece6899d7b1675247397f08866c6e2703f27e9d3cd37b4dde48ba3ccd119
- Size of remote file:
- 308 MB
- SHA256:
- 0fa457178815d4daa318bd66b325a3a0897cb914347701e22916d4bd3d919cc1
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