Instructions to use Nextcloud-AI/opus-mt-fi-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-fi-de 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-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-fi-de") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-fi-de") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59e925eb15a3753facb491f6357f40f6ce25b8476cd54b7a90dda69c45b4f4b2
- Size of remote file:
- 301 MB
- SHA256:
- 889d8c82b5734f8e030a8c2b42e69e9444e7b85f681de3dc92c9c77bcbc12d5f
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