Instructions to use Nextcloud-AI/opus-mt-ja-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-ja-nl 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-nl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-ja-nl") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-ja-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdff4d2d9d04229330e6680bf3228f5adf9b69d852a75a87e294d5cbc4c3cfb9
- Size of remote file:
- 312 MB
- SHA256:
- 8fcda59fe67f37216f04b6924681002c87e4d9ae50c4b0e63b2c6583b5e7d665
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