Instructions to use Ro551/mt5-small-GEC-spanish-synthetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ro551/mt5-small-GEC-spanish-synthetic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ro551/mt5-small-GEC-spanish-synthetic") model = AutoModelForSeq2SeqLM.from_pretrained("Ro551/mt5-small-GEC-spanish-synthetic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 565da6c3e0fd85b9a2bbca83bfbae1bae34fafe7aa4bccb6b6ad3774f1012ab3
- Size of remote file:
- 2.23 GB
- SHA256:
- e072d4fa159801918a648b18fc9e56f426881868de1435afb8220804090f0cf4
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