Instructions to use Helsinki-NLP/opus-mt-ca-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ca-pt 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-ca-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ca-pt") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ca-pt") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened over 2 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#3 opened about 3 years ago
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SFconvertbot
Add multilingual to the language tag
#2 opened over 3 years ago
by
lbourdois
Add "multilingual" to the language tag
#1 opened over 3 years ago
by
lbourdois