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
File size: 131 Bytes
9800cc3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e236ee6d866b635c0142114f8647f39831f9d92534aa2aad75c942f6a78ad0e3
size 825924
|