Instructions to use angarcme/opus-mt-translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use angarcme/opus-mt-translation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("angarcme/opus-mt-translation") model = AutoModelForSeq2SeqLM.from_pretrained("angarcme/opus-mt-translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ac545bcb608603b234473a755fff9e9ba3b3a1612b6b8772aae7d21fbe70cea
- Size of remote file:
- 310 MB
- SHA256:
- 21368a03fdbd6618f9a9026a27f7b603cb6cf50c74409044ca4de4a986cebf8e
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