Instructions to use Helsinki-NLP/opus-mt-en-euq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-euq 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-euq")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-euq") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-euq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-en-euq: direct link, hf CLI and curl.
- Browser
- Download file 224 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-en-euq/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-en-euq/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-en-euq/resolve/main/pytorch_model.bin
224 MB
- Xet hash:
- 592dfabacf7f7603178775f6b7404fcc8f6ffbf3ca84dd42907ddc0dcc54b39c
- Size of remote file:
- 224 MB
- SHA256:
- 3e98ec2cb99b7622b1ac1e1f3777aadb81138e86582dc170eb710a38b686c367
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