Audio-Text-to-Text
Transformers
Safetensors
English
Chinese
audio
speech
multimodal
audio-language-model
asr
speech-recognition
Instructions to use cslys1999/Eureka-Audio-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cslys1999/Eureka-Audio-Instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cslys1999/Eureka-Audio-Instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca8910f3645960872a8bfab7fa7483d87b6671ce3ab4203f561f160b2dc09dac
- Size of remote file:
- 6.77 kB
- SHA256:
- 90c1b81f29e41b7642b0cc02c877a10c8bf6751a8d8fa1d16ac9a718cf1c3d86
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