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") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "/root/models/Qwen/Qwen2-Audio-7B-Instruct", | |
| "architectures": [ | |
| "Qwen2AudioForConditionalGeneration" | |
| ], | |
| "audio_config": { | |
| "model_type": "qwen2_audio_encoder", | |
| "torch_dtype": "bfloat16" | |
| }, | |
| "audio_token_index": 151646, | |
| "hidden_size": 4096, | |
| "ignore_index": -100, | |
| "keys_to_ignore_at_inference": [ | |
| "past_key_values" | |
| ], | |
| "model_type": "qwen2_audio", | |
| "pad_token_id": 151643, | |
| "text_config": { | |
| "bos_token_id": 151643, | |
| "eos_token_id": 151645, | |
| "intermediate_size": 11008, | |
| "max_position_embeddings": 8192, | |
| "model_type": "qwen2", | |
| "rms_norm_eps": 1e-05, | |
| "torch_dtype": "bfloat16", | |
| "use_mrope": false, | |
| "vocab_size": 156032 | |
| }, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.48.3", | |
| "vocab_size": 156032 | |
| } | |