Instructions to use Nextcloud-AI/opus-mt-en-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-en-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-en-ar")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-en-ar") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-en-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70dfba37bec4e3e2326a9cf6284c3bc067beef7c58a8652e9872abdd41a48573
- Size of remote file:
- 308 MB
- SHA256:
- d6d0270434540ec1e54c387206b27ea916831a8ccaff3ab04c7b63a03313b3cc
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