Instructions to use Ro551/mt5-small-GEC-spanish-cowsl2h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ro551/mt5-small-GEC-spanish-cowsl2h with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ro551/mt5-small-GEC-spanish-cowsl2h") model = AutoModelForSeq2SeqLM.from_pretrained("Ro551/mt5-small-GEC-spanish-cowsl2h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 937e2ac306207878a73afafd1ccafd2e66893ea83c80ca7ffebe7beecd14a4b0
- Size of remote file:
- 2.23 GB
- SHA256:
- be3bb43fb1c9c0138f07e0efec72446d67aa2dee44b8777f9f90c22f6f5a3421
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