Instructions to use Nextcloud-AI/opus-mt-es-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-es-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-es-ar")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-es-ar") model = AutoModelForMultimodalLM.from_pretrained("Nextcloud-AI/opus-mt-es-ar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b1aeb45ba13ba2b533580fa874f328ce2af24ec5578f77f88f2cdfe7493deda
- Size of remote file:
- 307 MB
- SHA256:
- 8c2c20ab6807c2627f04d0cb5397d8ebe2f006cc8981ac26e6d3679dd1050dd7
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