Instructions to use feserrm/mbart-praias_es-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feserrm/mbart-praias_es-pt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("feserrm/mbart-praias_es-pt") model = AutoModelForSeq2SeqLM.from_pretrained("feserrm/mbart-praias_es-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 439418f562968c781abaa176e652db60228678fb181ea862e76a0bfd2178d26b
- Size of remote file:
- 310 MB
- SHA256:
- 2e5c04a4410ce5618376013035035f7dde6f78a60b1e61fdeea35e8cf2ec163f
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