Instructions to use Nextcloud-AI/opus-mt-sv-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-sv-zh 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-zh")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-sv-zh") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-sv-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d7490f9931dc355bb9ff4941154ea8ecd1f6bb3d4313ea49729aa121a708105
- Size of remote file:
- 307 MB
- SHA256:
- 70ab4605a0c3acd847a562f772ff5b694a614582246da6bbe6f50b7249323d95
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