Instructions to use Nextcloud-AI/opus-mt-ar-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-ar-it 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-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-ar-it") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-ar-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a980485601d59f21275e768d11c770486f1635ceabadc1389bcc3b4671133f62
- Size of remote file:
- 309 MB
- SHA256:
- cc1aac58df2dc86a6791c5a1ea4de4d143c4ed9b9b141bb88e48116d7459afe0
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