Feature Extraction
Transformers
Safetensors
English
voiceclap-small
audio
speech
emotion
clap
contrastive
voice
custom_code
Instructions to use laion/voiceclap-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laion/voiceclap-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="laion/voiceclap-small", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("laion/voiceclap-small", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "VoiceCLAPSmall" | |
| ], | |
| "dtype": "float32", | |
| "embed_dim": 768, | |
| "model_type": "voiceclap-small", | |
| "n_ctx": 1500, | |
| "n_head": 12, | |
| "n_layer": 12, | |
| "n_mels": 80, | |
| "n_state": 768, | |
| "text_hidden_dim": 384, | |
| "text_intermediate_size": 1536, | |
| "text_layer_norm_eps": 1e-12, | |
| "text_max_position_embeddings": 512, | |
| "text_num_heads": 12, | |
| "text_num_layers": 6, | |
| "text_pad_token_id": 0, | |
| "text_proj_hidden": 576, | |
| "text_vocab_size": 30522, | |
| "transformers_version": "5.7.0", | |
| "auto_map": { | |
| "AutoConfig": "configuration_voiceclap.VoiceCLAPSmallConfig", | |
| "AutoModel": "modeling_voiceclap.VoiceCLAPSmall" | |
| } | |
| } |