How to use Helsinki-NLP/opus-mt-en-urj 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-urj")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-urj") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-urj", device_map="auto")
https://huggingface.co/Helsinki-NLP/opus-mt-en-urj/resolve/8d3b4eb467dc5d8d0cfd9861cb8ca93780c7319f/vocab.json
hf download hf://Helsinki-NLP/opus-mt-en-urj@8d3b4eb467dc5d8d0cfd9861cb8ca93780c7319f/vocab.json
curl -L -o vocab.json https://huggingface.co/Helsinki-NLP/opus-mt-en-urj/resolve/8d3b4eb467dc5d8d0cfd9861cb8ca93780c7319f/vocab.json
