Instructions to use sarodasrgt/opus-mt-cak-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sarodasrgt/opus-mt-cak-es with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sarodasrgt/opus-mt-cak-es") model = AutoModelForSeq2SeqLM.from_pretrained("sarodasrgt/opus-mt-cak-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27e6bf305ed936b03144c6100d2c6c4ccba17209a573395a31633df9d200b577
- Size of remote file:
- 310 MB
- SHA256:
- 5631497e0bbadad023da63500eb2c49e4799376b0dc774bc132c701647f8961e
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