Instructions to use Nextcloud-AI/opus-mt-de-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-de-ar 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-ar")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-de-ar") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-de-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f38b7cfe73ea07ae15d63226f36174e4459e405d634b45db8beabfb2e2b51b44
- Size of remote file:
- 308 MB
- SHA256:
- aa8933f4fb7aefd1dc827fd17ac3622b7a19221a397e2276e4b448a55e355ab9
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