Instructions to use Helsinki-NLP/opus-mt-tr-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tr-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-tr-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tr-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tr-en") - Inference
- Notebooks
- Google Colab
- Kaggle
Create S
#4 opened 6 months ago
by
mansurogluefe
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
When any Devanagari script is input into this model it returns a vulgar reply.
#2 opened almost 3 years ago
by
coltonbehannon
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot