Instructions to use Helsinki-NLP/opus-mt-en-mul with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-mul 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-mul")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-mul") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-mul", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-en-mul: direct link, hf CLI and curl.
- Browser
- Download file 310 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-en-mul/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-en-mul/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-en-mul/resolve/main/pytorch_model.bin
310 MB
- Xet hash:
- b6d1ff498b900c7e97a1a4a2a46943595f00c02f97b74c47506266953e7c12d2
- Size of remote file:
- 310 MB
- SHA256:
- b7d0589b00fb32025948af833778fbbfc6d069683fed3e43c4a4f4f192bd77a0
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