Instructions to use Nextcloud-AI/opus-mt-sv-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-sv-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="Nextcloud-AI/opus-mt-sv-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-sv-en") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-sv-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ece3e2178cfd90ac33ee4a30e08e65adfd520dfae38f32092aef46294d15c69f
- Size of remote file:
- 526 MB
- SHA256:
- c804131a7059472b0068d2647ec6fd1fcf9ab0542cccc0159823e0d7552005e5
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