Transformers
PyTorch
TensorBoard
Spanish
mt5
text2text-generation
simplification
Generated from Trainer
Instructions to use CLARA-MeD/mt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLARA-MeD/mt5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CLARA-MeD/mt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("CLARA-MeD/mt5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b513312eec81151a66dc648679d1feeb9c3861f9277ba30aa14ea2ed8909566d
- Size of remote file:
- 3.52 kB
- SHA256:
- 37b545e4217ba83233edf70adf48eea8838d8a6a8830bcb6899693a32670f86c
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