Instructions to use Jeevesh8/t5-small_re-cogs_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_8") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e66c95e32c79f7fe5f7e8daa4dd9a39021bf15cb27f16df0c67c34a061f6200d
- Size of remote file:
- 308 MB
- SHA256:
- ac06749ddbf02f78fe9ec7eee324120cd105d878226994b8109e3bb68f8fc51b
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