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:
# pip install -U transformers accelerate # 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.json from JimmyMa99/AntiFraud-SFT: direct link, hf CLI and curl.
- Browser
- Download file 12 MB
-
https://huggingface.co/JimmyMa99/AntiFraud-SFT/resolve/main/tokenizer.json
- Command line
-
hf download hf://JimmyMa99/AntiFraud-SFT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/JimmyMa99/AntiFraud-SFT/resolve/main/tokenizer.json
12 MB
- Xet hash:
- fb5d32945f929095e339cd8e3edcb56e790b78ffa2acbe26edd049152f193e47
- Size of remote file:
- 12 MB
- SHA256:
- fecdb47d281073055efd605d080013e3114ed0f3c5d8af201e245b199864c9c7
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