Instructions to use Helsinki-NLP/opus-mt-gem-gem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-gem-gem 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-gem")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-gem-gem") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-gem-gem", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb44dfc85c5d5b928eab269b06a4930e55b8558f6c789a509c65e137cf2bbeda
- Size of remote file:
- 256 MB
- SHA256:
- 0dc3527db4fa01e8d02a9db0ae1333fda38b4d1f1861b4ab38c658bcee3ee0a2
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