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
File size: 799 Bytes
00ce8ee | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | {
"_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
}
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