Instructions to use Nextcloud-AI/opus-mt-ar-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-ar-tr 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-tr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-ar-tr") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-ar-tr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d2eececb6b4472004e387ba06f5637008931d15b7ca6d1055eddd1fda5b51d2
- Size of remote file:
- 309 MB
- SHA256:
- 5899fac39435c51293f71b452c14e4527c1ec99f0c95d540f0002f741c4917a4
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