Instructions to use Helsinki-NLP/opus-mt-en-grk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-grk 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-grk")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-grk") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-grk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-en-grk: direct link, hf CLI and curl.
- Browser
- Download file 225 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-en-grk/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-en-grk/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-en-grk/resolve/main/pytorch_model.bin
225 MB
- Xet hash:
- 21464cd3b1e4d985d50ba97e3adea2dd3c63c36dd9fc880e32cbc088cac9afba
- Size of remote file:
- 225 MB
- SHA256:
- b92d06ecc6a205ed976316b7c8aef460e8b7de9490163d10bcbd10b37b52adc5
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