Text-to-Audio
Transformers
Safetensors
English
qwen2_5_omni
audio
temporal-grounding
multi-turn
multi-audio
sft
Instructions to use bluesky7/TEMA-Qwen2.5-Omni-7B-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bluesky7/TEMA-Qwen2.5-Omni-7B-SFT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="bluesky7/TEMA-Qwen2.5-Omni-7B-SFT")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("bluesky7/TEMA-Qwen2.5-Omni-7B-SFT") model = AutoModelForMultimodalLM.from_pretrained("bluesky7/TEMA-Qwen2.5-Omni-7B-SFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!