Instructions to use Helsinki-NLP/opus-mt-eo-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-eo-bg 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-bg")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-eo-bg") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-eo-bg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
set `renormalize_logits=True` for better performance (see `transformers` issue #4290)
a52d224
-
Adding generation config file(s)
5ed6b7b
-
Add TF weights
Joao Gante307d815
-
Changed num_beams to 4
252bb54
-
Update README.md
ece8c24 -
Update README.md
860bffe -
Update metadata.json
502a5b5
-
Update README.md
957852d -
Update config.json
2fa2acb -
Update metadata.json
2c29981 -
Update tokenizer_config.json
b5c4bc0 -
Update vocab.json
75fef1f -
Update README.md
6bee901 -
Update metadata.json
d5eba09 -
Update README.md
16a7730 -
Update config.json
eab079e -
Update metadata.json
fb27ac6 -
Update pytorch_model.bin
6dc8775 -
Update source.spm
0031fc7 -
Update target.spm
218ca67 -
Update tokenizer_config.json
689d1a2 -
Update vocab.json
d88580d -
initial commit
5507b20