Instructions to use Helsinki-NLP/opus-mt-de-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-de-en 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-de-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-de-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-de-en") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding ONNX file of this model
#10 opened about 1 year ago
by
ekremabiii
About dataset
#9 opened over 2 years ago
by
bangbangL
Encoding errors when using via Interference API
#8 opened over 2 years ago
by
oezbek
Adding '\n' to this model (using CTranslate2)
#7 opened over 2 years ago
by
Geremia23
Adding `safetensors` variant of this model
#6 opened almost 3 years ago
by
SFconvertbot
Request: DOI
2
#5 opened about 3 years ago
by
KimTang
Adding `safetensors` variant of this model
#4 opened about 3 years ago
by
SFconvertbot
Eval formats in Model Card
#3 opened over 3 years ago
by
MaximilianBlanck
Nein -> Yes
👍 4
#2 opened over 3 years ago
by
yaanhaan
"hallo hallo" translates to "hello" * 100
👍 4
#1 opened almost 4 years ago
by
ascbee