Instructions to use Nextcloud-AI/opus-mt-de-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-de-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-de-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-de-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-de-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cc9fc3abc72c27a764fcc9cde8d20121cb90589cee448b1e78338266217d4e9
- Size of remote file:
- 304 MB
- SHA256:
- 4546983124cbbffe67181fa43e55f69949c96a2bdad281958718f1efa207f096
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