Instructions to use versae/t5-9m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/t5-9m with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-9m") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-9m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2a1722c9f84e16a682e8b6ea84e8f42be33fd5ee91803c696530dfc0a4bf7b5
- Size of remote file:
- 990 MB
- SHA256:
- d09b098458858a0d81203bfb9afaf780a25b1179118cbf55f7a9ca71733a6dd0
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