Instructions to use ezzini/marian-finetuned-mcwc-ar-to-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ezzini/marian-finetuned-mcwc-ar-to-es with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ezzini/marian-finetuned-mcwc-ar-to-es") model = AutoModelForSeq2SeqLM.from_pretrained("ezzini/marian-finetuned-mcwc-ar-to-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b39c5fda4dc15f14a9d1efb83d3e861912f895fc7aa690c05a60bf3d2b8b55b
- Size of remote file:
- 307 MB
- SHA256:
- 19f10687799a88f901817884006bd8d7d6f2e6b2da9c9d5bf858e5eb5f9bb193
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