Instructions to use versae/t5-7m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/t5-7m with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-7m") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-7m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec8752234c49a0204f65c6c3ae48dc6b4b390a157b22152265f358386bc61741
- Size of remote file:
- 721 kB
- SHA256:
- f3134ea035ee87cd627d7008161bba33ac8bee406203aa850d7c014f30a5213d
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