Instructions to use Nextcloud-AI/opus-mt-sv-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-sv-fr 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="Nextcloud-AI/opus-mt-sv-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-sv-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-sv-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bec4aaeb199627a74a58e4307729c80e21b59b31c108c7742fe3ceec8a725fa
- Size of remote file:
- 298 MB
- SHA256:
- 2f8e7a7ed7ce11c45c42d35af0069081c815c7e5bf58a234955f101322d79c5a
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