Instructions to use Nextcloud-AI/opus-mt-sv-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-sv-fi 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-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-sv-fi") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-sv-fi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 831d5b2d3db34a0b44da174b77a430843d908be3c49a787ac5ca1d3a9b9276cc
- Size of remote file:
- 304 MB
- SHA256:
- e856ec1f84677b1b8bb9ba4f082b606fe6e8f3f88578b6325844e65c4a3e788b
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