Instructions to use LuminAISecurity/deepseek_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LuminAISecurity/deepseek_classifier with Transformers:
# Load model directly from transformers import DeepSeekForHuggingFace model = DeepSeekForHuggingFace.from_pretrained("LuminAISecurity/deepseek_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 402 Bytes
a1a0828 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"architectures": [
"DeepSeekForHuggingFace"
],
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2"
},
"image_size": 384,
"inp_layer": 3072,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2
},
"model_path": "deepseek-ai/deepseek-vl-1.3b-base",
"model_type": "concatmodel",
"torch_dtype": "float32",
"transformers_version": "4.48.2"
}
|