Instructions to use Nextcloud-AI/opus-mt-fi-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-fi-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-fi-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-fi-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-fi-sv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24a9186b4f4b1a745d9737828ea83c5759def9f65251399cbbf5753f00497534
- Size of remote file:
- 305 MB
- SHA256:
- 1e8c5bb2a36bd350671dc6085b15c33fccacc357a61661431cba7ccba48a5f88
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