Translation
Transformers
Safetensors
multilingual
qwen3_5
image-text-to-text
instruction-following
wmt26
qwen3.5
Instructions to use WPS-Qingqiu/Qingqiu-MT-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WPS-Qingqiu/Qingqiu-MT-9B 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="WPS-Qingqiu/Qingqiu-MT-9B")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("WPS-Qingqiu/Qingqiu-MT-9B") model = AutoModelForMultimodalLM.from_pretrained("WPS-Qingqiu/Qingqiu-MT-9B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 458bcbf483ed805b4297af928f717e64bd00c633a07be5fae5717cacbd48e2ef
- Size of remote file:
- 20 MB
- SHA256:
- 87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
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