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:
- 7a1a70925ac435f0be4b7361c2395e11ff6bd045dd72dd76dbb909e98d8aab77
- Size of remote file:
- 308 MB
- SHA256:
- ea4fea01e9b6307df221b597dc3e58330667bc6d4a278e31f2a8fd3da4c5b601
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