Instructions to use Helsinki-NLP/opus-mt-eo-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-eo-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-eo-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-eo-pt") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-eo-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05a4f3216b9b40372037ce5736ef398164d35721f68a89348d504bd9d85668f0
- Size of remote file:
- 194 MB
- SHA256:
- 4dbe370850d9052c05a2e7a39761536aa4b341f9b473c34f83a7a258cf3c1e02
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