Instructions to use Nextcloud-AI/opus-mt-it-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-it-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-it-ar")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-it-ar") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-it-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98ff942cd53ff34723a295d6e67bce6ecbe1e33beae6e7de76921b52ed72867a
- Size of remote file:
- 309 MB
- SHA256:
- 2a9ba0c8b55bf595b9afa36850f55e5ed12c982d07c7f01767f04ba0b859dbfb
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