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")# pip install -U transformers accelerate # 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
Download vocab.json from Nextcloud-AI/opus-mt-sv-fr: direct link, hf CLI and curl.
- Browser
- Download file 1.38 MB
-
https://huggingface.co/Nextcloud-AI/opus-mt-sv-fr/resolve/main/vocab.json
- Command line
-
hf download hf://Nextcloud-AI/opus-mt-sv-fr/vocab.json
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curl -L -o vocab.json https://huggingface.co/Nextcloud-AI/opus-mt-sv-fr/resolve/main/vocab.json
1.38 MB
File too large to display, you can check the raw version instead.