Instructions to use Helsinki-NLP/opus-mt-gl-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-gl-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-gl-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-gl-pt") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-gl-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 673e104a3008e6967ad7a6783ee92df6e7e5bfaba837be0624afc47812e0185a
- Size of remote file:
- 191 MB
- SHA256:
- eca49513b53965a288e6dfdfca15fea589b873d818479df6d47c4bcd9a31043a
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