Instructions to use Helsinki-NLP/opus-mt-en-gv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-gv 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-gv")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-gv") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-gv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-en-gv: direct link, hf CLI and curl.
- Browser
- Download file 204 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-en-gv/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-en-gv/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-en-gv/resolve/main/pytorch_model.bin
204 MB
- Xet hash:
- 52138205a6d8908ae3abd11c9f62553e9586ee6359834c5857026f142e603882
- Size of remote file:
- 204 MB
- SHA256:
- 3ba6e7f592bb76e1a37486e9d85b27f64dee26c84abececdfdb1c7ae82a9be08
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