Instructions to use QuanxinLi/TinyGuard-Command with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use QuanxinLi/TinyGuard-Command with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download QuanxinLi/TinyGuard-Command --local-dir TinyGuard-Command
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 446 Bytes
7bd7b42 | 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 | {
"architectures": [
"TinyGuardClassifier"
],
"model_type": "tinyguard",
"hidden_size": 256,
"num_hidden_layers": 6,
"num_attention_heads": 4,
"intermediate_size": 1024,
"vocab_size": 16384,
"max_position_embeddings": 512,
"num_classes": 3,
"pad_token_id": 0,
"framework": "mlx",
"license": "apache-2.0",
"id2label": {
"0": "safe",
"1": "confirm",
"2": "deny"
},
"label2id": {
"safe": 0,
"confirm": 1,
"deny": 2
}
} |