Instructions to use Nextcloud-AI/opus-mt-it-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-it-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-it-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-it-de") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-it-de") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dff5c60ad1ba11521f9065589868adb7f11bfc61ab90a17d2f3e8ff17b7ac8e
- Size of remote file:
- 302 MB
- SHA256:
- 61a1d631be8f9f39472215c2c6dada2f1685c9514c7c00bec7fa928688a66009
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