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
File size: 453 Bytes
eb34860 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"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"
}
|