Instructions to use Nextcloud-AI/opus-mt-zh-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-zh-sv 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-zh-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-zh-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-zh-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cdf2f63183e83c1d32c34b81ad26c6292c5ae688bcdb9d92bbe3c2532d4739d
- Size of remote file:
- 312 MB
- SHA256:
- 0d729aaf86174fb9cd18cf7a34eb3b7eda97778b8b7395f975b07dd62dffa456
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