Audio-Text-to-Text
Transformers
Safetensors
Chinese
qwen2_audio
text2text-generation
telecom-fraud
audio-text
qwen2-audio
chinese
speech-understanding
supervised-fine-tuning
Instructions to use JimmyMa99/AntiFraud-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JimmyMa99/AntiFraud-SFT with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("JimmyMa99/AntiFraud-SFT") model = AutoModelForMultimodalLM.from_pretrained("JimmyMa99/AntiFraud-SFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from JimmyMa99/AntiFraud-SFT: direct link, hf CLI and curl.
- Browser
- Download file 638 kB
-
https://huggingface.co/JimmyMa99/AntiFraud-SFT/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://JimmyMa99/AntiFraud-SFT/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/JimmyMa99/AntiFraud-SFT/resolve/main/tokenizer_config.json
638 kB
File too large to display, you can check the raw version instead.