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language_model) extracted from Qwen/Qwen3.5-9B VLM, saved as a standalone model for use as a text encoder.language_model),保存为独立模型用作文本编码器。model.language_model (Qwen3_5TextModel)qwen3_5_texttransformers>=5.2.01from transformers import AutoModel, AutoTokenizer
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3model = AutoModel.from_pretrained("Qian2501/Qwen3.5-9B-text", dtype="bfloat16")
4tokenizer = AutoTokenizer.from_pretrained("Qian2501/Qwen3.5-9B-text")TEXT_ENCODER=qwen3.5-9b TEXT_ENCODER_MODE=local TEXT_ENCODER_DEVICE=cpu kimodo_gen "A person walks forward" --bvh1from transformers import AutoModel, AutoTokenizer
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3full_model = AutoModel.from_pretrained("Qwen/Qwen3.5-9B", dtype="bfloat16")
4text_model = full_model.language_model
5text_model.save_pretrained("Qwen3.5-9B-text")
6AutoTokenizer.from_pretrained("Qwen/Qwen3.5-9B").save_pretrained("Qwen3.5-9B-text")