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:
- b0d27248158a69af7749ccfb78979c559a57d4100464c3d907df4583d9577e9e
- Size of remote file:
- 831 kB
- SHA256:
- cec6db04acfd089d61555b55f0026ee8584ff2fa01b8f0f84f40bd49010a1cf0
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