Instructions to use Helsinki-NLP/opus-mt-en-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-gl 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-gl")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-gl") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-gl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-en-gl: direct link, hf CLI and curl.
- Browser
- Download file 293 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-en-gl/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-en-gl/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-en-gl/resolve/main/pytorch_model.bin
293 MB
- Xet hash:
- dada6e1dc4246701bf6ec9554594ddc2cbfc0c9a5ec04696625653a135d84573
- Size of remote file:
- 293 MB
- SHA256:
- 20a6894149049570f6d331a555c63ef8c85a6ad0cbe770d4872be5d52cdc8a00
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