Instructions to use Helsinki-NLP/opus-mt-en-cpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-cpp with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-cpp")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-cpp") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-cpp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from Helsinki-NLP/opus-mt-en-cpp: direct link, hf CLI and curl.
- Browser
- Download file 812 kB
-
https://huggingface.co/Helsinki-NLP/opus-mt-en-cpp/resolve/main/source.spm
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-en-cpp/source.spm
-
curl -L -o source.spm https://huggingface.co/Helsinki-NLP/opus-mt-en-cpp/resolve/main/source.spm
812 kB
This file contains binary data. It cannot be displayed, but you can still download it.