Instructions to use Helsinki-NLP/opus-mt-tl-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tl-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-tl-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tl-pt") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tl-pt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42cb1ad0ed8db9d8b837ac78f1ccb871680cda3bb15489831f340a2867bbcd7f
- Size of remote file:
- 301 MB
- SHA256:
- 0ab7e8030c0a053cf104ddc063f40513f966af3a2f4276367812c9720833c338
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