Instructions to use Helsinki-NLP/opus-mt-pt-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-pt-eo 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-pt-eo")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-pt-eo") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-pt-eo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f716f669e8f979d2e4812389db60dcc8e97068d5c8a7ed0d695973fd72f048de
- Size of remote file:
- 194 MB
- SHA256:
- e2ca543c722f11094bb80e2a477f567db687e403302102d2aa4884255bdc9ac8
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