Instructions to use Helsinki-NLP/opus-mt-en-urj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-urj 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-urj")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-urj") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-urj", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-en-urj: direct link, hf CLI and curl.
- Browser
- Download file 300 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-en-urj/resolve/975fb9900b604ea1f02fc38d1517db9586180a16/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-en-urj@975fb9900b604ea1f02fc38d1517db9586180a16/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-en-urj/resolve/975fb9900b604ea1f02fc38d1517db9586180a16/pytorch_model.bin
300 MB
- Xet hash:
- 12890473f8b39e823cb014530d891f9132bd3d917004311159b7e3abcf9b42aa
- Size of remote file:
- 300 MB
- SHA256:
- 689986cf47a059ed6fa9c2b9ce8a9a0a47462c2698ee19a37ab68d315ed653f8
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