Instructions to use Nextcloud-AI/opus-mt-ja-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-ja-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-ja-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-ja-de") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-ja-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e47ee7d7c247ea02b30d3014ffea02f0ac0639371073ce204f1c9ab3cea406d8
- Size of remote file:
- 306 MB
- SHA256:
- f323c71869ff9a084218e7d76d29d0b5cc1ec3bfc0d06cc279682d4be2a9f6d0
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