Instructions to use versae/t5-8m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/t5-8m with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-8m") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-8m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90054b2f3fe474f19ecf1644198f061421c6ad6bccd48771df413790d52b8ca9
- Size of remote file:
- 990 MB
- SHA256:
- 99185e58c8c719bfdd4b3c3b4ffc10632096bcb38c2b722a944af47287ba9852
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