Instructions to use Helsinki-NLP/opus-mt-gem-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-gem-en 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-gem-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-gem-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-gem-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b945b936d0565f0dded43a38904ef0d240b4d451e650fe7a7a7f783b978f3099
- Size of remote file:
- 295 MB
- SHA256:
- 4495f7721e756ca64594e2ff6f96a56e65c953264b1af9da3726c7dca98b5dbf
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