Instructions to use Jeevesh8/t5-small_re-cogs_24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_24 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_24") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 466cca3369e026e067801bd5351fe19808abcc998c4ac2238455ec65e048b56b
- Size of remote file:
- 308 MB
- SHA256:
- 55634ae127e7576f40581b4663a1fb17a2caa608aed7f20ca91c66136871668c
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