Instructions to use Helsinki-NLP/opus-mt-bi-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-bi-en 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-bi-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-bi-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-bi-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-bi-en: direct link, hf CLI and curl.
- Browser
- Download file 290 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-bi-en/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-bi-en/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-bi-en/resolve/main/pytorch_model.bin
290 MB
- Xet hash:
- 79da972ad9fcb2f135ca2a2fe3336c44c372b8f1c992ff466e57537fb9005ba2
- Size of remote file:
- 290 MB
- SHA256:
- fbf894eaa3b64db129cd688fa878380dfe82ed5882eae6212f56d8217d799255
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