Instructions to use Nextcloud-AI/opus-mt-ja-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-ja-tr 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-tr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-ja-tr") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-ja-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cac3f9751d054de1b76e4d04d44013445368d4e1eb126c0cac8d61ce9677239
- Size of remote file:
- 312 MB
- SHA256:
- 1c88bef8ffe73d90f2eaa50322e932b0c24f716f79b5449d65294355c65f58b1
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