Instructions to use Helsinki-NLP/opus-mt-he-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-he-eo 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-he-eo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-he-eo") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-he-eo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-he-eo: direct link, hf CLI and curl.
- Browser
- Download file 195 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-he-eo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-he-eo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-he-eo/resolve/main/pytorch_model.bin
195 MB
- Xet hash:
- ec85ea2d8440eb991f687a36455c46d96db9f98cdf3dc5c4e334474cbfcebc0e
- Size of remote file:
- 195 MB
- SHA256:
- 42e21e78b9ef3b692f55163884fa269794e819b16c9d5cee8d01e8daa02ce5da
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