Instructions to use drbaph/LongCat-AudioDiT-3.5B-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drbaph/LongCat-AudioDiT-3.5B-bf16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="drbaph/LongCat-AudioDiT-3.5B-bf16")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("drbaph/LongCat-AudioDiT-3.5B-bf16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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language:
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---
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# LongCat-AudioDiT-3.5B — BF16 Weight-Only Quantized (ComfyUI)
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language:
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pipeline_tag: text-to-speech
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tags:
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- comfyui
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- audiodit
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- transformers
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---
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# LongCat-AudioDiT-3.5B — BF16 Weight-Only Quantized (ComfyUI)
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