Instructions to use Helsinki-NLP/opus-mt-yo-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-yo-sv 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-yo-sv")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-yo-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-yo-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-yo-sv: direct link, hf CLI and curl.
- Browser
- Download file 300 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-yo-sv/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-yo-sv/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-yo-sv/resolve/main/pytorch_model.bin
300 MB
- Xet hash:
- 98df9eb5c070c92f9f5c5928d9d0beb67ecba36414e3349b6d4d92813833cb8c
- Size of remote file:
- 300 MB
- SHA256:
- 130e198b30e765a614fa92f8115b61e97703aae10311b52fd2b116626e64bc13
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