Audio Classification
Transformers
Safetensors
Japanese
animescore_ranknet
image-feature-extraction
audio
speech
preference
anime
custom_code
Instructions to use spellbrush/animescore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spellbrush/animescore with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="spellbrush/animescore", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("spellbrush/animescore", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "animescore_ranknet", | |
| "architectures": ["AnimeScoreRankNet"], | |
| "auto_map": { | |
| "AutoConfig": "modeling_animescore.AnimeScoreConfig", | |
| "AutoModel": "modeling_animescore.AnimeScoreRankNet" | |
| }, | |
| "ssl_backbone": "facebook/hubert-base-ls960", | |
| "ssl_feat_dim": 768, | |
| "use_layer_mixing_last_k": 4, | |
| "lstm_hidden": 256, | |
| "lstm_layers": 1, | |
| "mlp_hidden": 256, | |
| "dropout": 0.1, | |
| "target_sr": 16000, | |
| "torch_dtype": "float32" | |
| } | |