Instructions to use sshleifer/opus-mt-CELTIC-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/opus-mt-CELTIC-en with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/opus-mt-CELTIC-en") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/opus-mt-CELTIC-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update vocab.json
40961ab -
Update source.spm
2442bc4 -
Update target.spm
57bc0a0 -
Update tokenizer_config.json
1d04ab3 -
Update pytorch_model.bin
ab744bb -
Update README.md
21b1ea7 -
Update config.json
b1f0721 -
initial commit
88f22d3