Instructions to use Helsinki-NLP/opus-mt-ee-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ee-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-ee-sv")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ee-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ee-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-ee-sv: direct link, hf CLI and curl.
- Browser
- Download file 301 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-ee-sv/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-ee-sv/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-ee-sv/resolve/main/pytorch_model.bin
301 MB
- Xet hash:
- 14dd553eeaf28084a340e5ac6bc9533af889acf0b177791a5b5351101e24063b
- Size of remote file:
- 301 MB
- SHA256:
- 4698ef4a8b0557cf991aaa070dfe6c421cd37c31b48e62406c9b7030c8bc3dbf
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