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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39dcad4abf72bd3a74b7e515b20d1f196d465e8596694909d73aa60c0f09ca08
- Size of remote file:
- 309 MB
- SHA256:
- 3520f1444958c8c57a987c1f1e968db1b9fc4a774372d071eec19875f8b3a4cc
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