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
Download source.spm from sshleifer/opus-mt-CELTIC-en: direct link, hf CLI and curl.
- Browser
- Download file 302 kB
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https://huggingface.co/sshleifer/opus-mt-CELTIC-en/resolve/main/source.spm
- Command line
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hf download hf://sshleifer/opus-mt-CELTIC-en/source.spm
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curl -L -o source.spm https://huggingface.co/sshleifer/opus-mt-CELTIC-en/resolve/main/source.spm
302 kB
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