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:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a03307dd686a700b62905d763c3d617abd543710bff45338c79777081614375f
- Size of remote file:
- 197 MB
- SHA256:
- 56f13a451531e4a1d1595e4abdddd9e519573a3fbcc3ae9103519e247640d059
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