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") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- name: mt5-small-clara-med
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results: []
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datasets:
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dataset:
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---
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- Transformers 4.25.1
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- Pytorch 1.13.0
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- Datasets 2.8.0
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- Tokenizers 0.12.1
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- name: mt5-small-clara-med
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results: []
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datasets:
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- lcampillos/CLARA-MeD
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dataset:
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language:
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- es
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.25.1
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- Pytorch 1.13.0
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- Datasets 2.8.0
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- Tokenizers 0.12.1
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