Instructions to use Nextcloud-AI/opus-mt-ar-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-ar-en 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-ar-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-ar-en") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-ar-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4864d2569e4276d0396f24a7b647a3096c898bb925c62c8d3baa9ccc23b1f4e0
- Size of remote file:
- 308 MB
- SHA256:
- e937a8dd33fa352c278029f190b1d077deb8c637152ff4039c202b72683935fb
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