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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from Nextcloud-AI/opus-mt-de-ar: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/Nextcloud-AI/opus-mt-de-ar/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Nextcloud-AI/opus-mt-de-ar/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Nextcloud-AI/opus-mt-de-ar/resolve/main/pytorch_model.bin
308 MB
- Xet hash:
- f38b7cfe73ea07ae15d63226f36174e4459e405d634b45db8beabfb2e2b51b44
- Size of remote file:
- 308 MB
- SHA256:
- aa8933f4fb7aefd1dc827fd17ac3622b7a19221a397e2276e4b448a55e355ab9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.