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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cslys1999/Eureka-Audio-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download chat_template.json from cslys1999/Eureka-Audio-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 6.77 kB
-
https://huggingface.co/cslys1999/Eureka-Audio-Instruct/resolve/main/chat_template.json
- Command line
-
hf download hf://cslys1999/Eureka-Audio-Instruct/chat_template.json
-
curl -L -o chat_template.json https://huggingface.co/cslys1999/Eureka-Audio-Instruct/resolve/main/chat_template.json
6.77 kB
- Xet hash:
- ca8910f3645960872a8bfab7fa7483d87b6671ce3ab4203f561f160b2dc09dac
- Size of remote file:
- 6.77 kB
- SHA256:
- 90c1b81f29e41b7642b0cc02c877a10c8bf6751a8d8fa1d16ac9a718cf1c3d86
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