Instructions to use Helsinki-NLP/opus-mt-eo-el with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-eo-el 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-eo-el")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-eo-el") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-eo-el", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
set `renormalize_logits=True` for better performance (see `transformers` issue #4290)
40cacad
-
Adding generation config file(s)
b3e8774
-
Add TF weights
Joao Gante15892ca
-
Changed num_beams to 4
1aab059
-
Update README.md
e9390e4 -
Update README.md
9119a65 -
Update metadata.json
4003806
-
Update README.md
6d9f320 -
Update config.json
8a7e05b -
Update metadata.json
88e239c -
Update tokenizer_config.json
9dfa91f -
Update vocab.json
e516a1d -
Update README.md
4987af9 -
Update metadata.json
8ad8459 -
Update README.md
e8dc008 -
Update config.json
7621830 -
Update metadata.json
ff422fe -
Update pytorch_model.bin
826820f -
Update source.spm
5597433 -
Update target.spm
90a8787 -
Update tokenizer_config.json
50af3de -
Update vocab.json
7fe5e7e -
initial commit
e875109