Feature Extraction
Transformers
Safetensors
qwen2_5_omni_audio_encoder
speech
audio-encoder
flexislm
qwen2.5-omni
Instructions to use FlexiSLM/Qwen2_5-Omni-Audio_Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlexiSLM/Qwen2_5-Omni-Audio_Encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="FlexiSLM/Qwen2_5-Omni-Audio_Encoder")# Load model directly from transformers import Qwen2_5OmniAudioEncoder model = Qwen2_5OmniAudioEncoder.from_pretrained("FlexiSLM/Qwen2_5-Omni-Audio_Encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 525 Bytes
122d2d7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"activation_dropout": 0.0,
"activation_function": "gelu",
"architectures": [
"Qwen2_5OmniAudioEncoder"
],
"attention_dropout": 0.0,
"d_model": 1280,
"dropout": 0.0,
"encoder_attention_heads": 20,
"encoder_ffn_dim": 5120,
"encoder_layers": 32,
"initializer_range": 0.02,
"max_source_positions": 1500,
"model_type": "qwen2_5_omni_audio_encoder",
"n_window": 100,
"num_hidden_layers": 32,
"num_mel_bins": 128,
"output_dim": 3584,
"scale_embedding": false,
"torch_dtype": "bfloat16"
}
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