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:
- 13b2da67c818c74928b3f2b1282b8b37daa389165dd387ecebdab79a4ebb7ae7
- Size of remote file:
- 565 MB
- SHA256:
- 9435126415cf8a97b935d33223650582bac290792a0f400218b2fe37533db7f7
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