Instructions to use Nextcloud-AI/opus-mt-de-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-de-es 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-de-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-de-es") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-de-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8944cd6223eea4d33f11f71965c74e2f4b59f5ba9dc8a7d08d7e8209f26bddbd
- Size of remote file:
- 304 MB
- SHA256:
- 30c7fea1c1e773786404f7a7cdd0ce9d7a607153efde36d44d6fe11dbf916ba7
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