Instructions to use Nextcloud-AI/opus-mt-es-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-es-de 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-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-es-de") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-es-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 259c4f47c61616c310a5d5828cb4be484e51cb1f07280ecb5a4b5f35a8d87d0c
- Size of remote file:
- 304 MB
- SHA256:
- 323df13eddfaf34dfd47a6c0015cfd7ad43fcd8d0a702d2af342d8542703320f
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