Instructions to use Nextcloud-AI/opus-mt-tr-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-tr-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-tr-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-tr-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-tr-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f2ce6ae1e29c9ddd6601d46585f64d8a3e478847a84d4cfd2db41a9cecd801a
- Size of remote file:
- 299 MB
- SHA256:
- 142e9438e2efac261a6e873d0429ba7a0e805c417a4264b97140b41d3dfdf28a
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