Instructions to use Helsinki-NLP/opus-mt-en-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-ru 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-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-ru") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-ru") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#7 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#6 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#5 opened over 2 years ago
by
wmlim
Adding `safetensors` variant of this model
#4 opened over 2 years ago
by
wmlim
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
by
SFconvertbot
Add Core ML conversion
👍 2
#2 opened almost 3 years ago
by
pichukov
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot