Audio-Text-to-Text
Transformers
Safetensors
English
Chinese
qwen2
text-generation
speech-language-model
streaming
audio
multimodal
qwen2.5-omni
text-generation-inference
Instructions to use zhifeixie/AudioInteraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhifeixie/AudioInteraction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("zhifeixie/AudioInteraction") model = AutoModelForCausalLM.from_pretrained("zhifeixie/AudioInteraction") - Notebooks
- Google Colab
- Kaggle
File size: 795 Bytes
c7deb87 | 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 34 35 36 37 38 39 | attention_logit_softcapping: null
attention_scores_scalar: null
attn_bias: true
bias: false
block_size: 32768
final_logit_softcapping: null
gelu_approximate: none
head_size: 128
hf_config:
name: Qwen2.5-3B
org: Qwen
intermediate_size: 11008
lm_head_bias: false
mlp_class_name: LLaMAMLP
n_embd: 2048
n_expert: 0
n_expert_per_token: 0
n_head: 16
n_layer: 36
n_query_groups: 2
name: Qwen2.5-3B
norm_class_name: RMSNorm
norm_eps: 1.0e-06
norm_qk: false
padded_vocab_size: 151936
padding_multiple: 512
parallel_residual: false
post_attention_norm: false
post_mlp_norm: false
rope_adjustments: null
rope_base: 1000000
rope_condense_ratio: 1
rotary_percentage: 1.0
scale_embeddings: false
shared_attention_norm: false
sliding_window_layer_placing: null
sliding_window_size: null
vocab_size: 151643
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