Audio Classification
Transformers
Safetensors
multilingual
wav2vec2-dual-hypersphere
audio-deepfake
deepfake-detection
deepfake
voice-cloning
anti-spoofing
asvspoof
wav2vec2
speech
audio
synthetic-voice
voice-conversion
tts-detection
trust-and-safety
security
SoTA
Modotte
custom_code
Instructions to use Modotte/AIRealNet-Audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Modotte/AIRealNet-Audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Modotte/AIRealNet-Audio", trust_remote_code=True)# Load model directly from transformers import AutoModelForAudioClassification model = AutoModelForAudioClassification.from_pretrained("Modotte/AIRealNet-Audio", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from Modotte/AIRealNet-Audio: direct link, hf CLI and curl.
- Browser
- Download file 2.72 kB
-
https://huggingface.co/Modotte/AIRealNet-Audio/resolve/main/config.json
- Command line
-
hf download hf://Modotte/AIRealNet-Audio/config.json
-
curl -L -o config.json https://huggingface.co/Modotte/AIRealNet-Audio/resolve/main/config.json
2.72 kB
| { | |
| "_name_or_path": "facebook/wav2vec2-base", | |
| "activation_dropout": 0.0, | |
| "adapter_attn_dim": null, | |
| "adapter_kernel_size": 3, | |
| "adapter_stride": 2, | |
| "add_adapter": false, | |
| "apply_spec_augment": true, | |
| "architectures": [ | |
| "Wav2Vec2DualHypersphereForAudioClassification" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration.Wav2Vec2DualHypersphereConfig", | |
| "AutoModelForAudioClassification": "modeling.Wav2Vec2DualHypersphereForAudioClassification" | |
| }, | |
| "attention_dropout": 0.1, | |
| "bos_token_id": 1, | |
| "classifier_proj_size": 256, | |
| "codevector_dim": 256, | |
| "contrastive_logits_temperature": 0.1, | |
| "conv_bias": false, | |
| "conv_dim": [ | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512 | |
| ], | |
| "conv_kernel": [ | |
| 10, | |
| 3, | |
| 3, | |
| 3, | |
| 3, | |
| 2, | |
| 2 | |
| ], | |
| "conv_stride": [ | |
| 5, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "ctc_loss_reduction": "sum", | |
| "ctc_zero_infinity": false, | |
| "diversity_loss_weight": 0.1, | |
| "do_stable_layer_norm": false, | |
| "eos_token_id": 2, | |
| "feat_extract_activation": "gelu", | |
| "feat_extract_norm": "group", | |
| "feat_proj_dropout": 0.1, | |
| "feat_quantizer_dropout": 0.0, | |
| "final_dropout": 0.0, | |
| "freeze_feat_extract_train": true, | |
| "hidden_act": "gelu", | |
| "hidden_dropout": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "AIVoice", | |
| "1": "HumanVoice" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "AIVoice": "0", | |
| "HumanVoice": "1" | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "layerdrop": 0.0, | |
| "mask_channel_length": 10, | |
| "mask_channel_min_space": 1, | |
| "mask_channel_other": 0.0, | |
| "mask_channel_prob": 0.0, | |
| "mask_channel_selection": "static", | |
| "mask_feature_length": 10, | |
| "mask_feature_min_masks": 0, | |
| "mask_feature_prob": 0.0, | |
| "mask_time_length": 10, | |
| "mask_time_min_masks": 2, | |
| "mask_time_min_space": 1, | |
| "mask_time_other": 0.0, | |
| "mask_time_prob": 0.05, | |
| "mask_time_selection": "static", | |
| "model_type": "wav2vec2-dual-hypersphere", | |
| "no_mask_channel_overlap": false, | |
| "no_mask_time_overlap": false, | |
| "num_adapter_layers": 3, | |
| "num_attention_heads": 12, | |
| "num_codevector_groups": 2, | |
| "num_codevectors_per_group": 320, | |
| "num_conv_pos_embedding_groups": 16, | |
| "num_conv_pos_embeddings": 128, | |
| "num_feat_extract_layers": 7, | |
| "num_hidden_layers": 12, | |
| "num_negatives": 100, | |
| "output_hidden_size": 768, | |
| "pad_token_id": 0, | |
| "proj_codevector_dim": 256, | |
| "tdnn_dilation": [ | |
| 1, | |
| 2, | |
| 3, | |
| 1, | |
| 1 | |
| ], | |
| "tdnn_dim": [ | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 1500 | |
| ], | |
| "tdnn_kernel": [ | |
| 5, | |
| 3, | |
| 3, | |
| 1, | |
| 1 | |
| ], | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.39.2", | |
| "use_weighted_layer_sum": false, | |
| "vocab_size": 32, | |
| "xvector_output_dim": 512 | |
| } | |