Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Instructions to use Kang-Seong-Jun/Korean_Real_Estate_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kang-Seong-Jun/Korean_Real_Estate_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Kang-Seong-Jun/Korean_Real_Estate_Classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Kang-Seong-Jun/Korean_Real_Estate_Classifier") model = AutoModelForImageClassification.from_pretrained("Kang-Seong-Jun/Korean_Real_Estate_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -61,10 +61,10 @@ HuggingPics를 이용해 학습한 부동산 자동 분류 모델입니다.
|
|
| 61 |
|
| 62 |

|
| 63 |
|
| 64 |
-
####
|
| 65 |
|
| 66 |

|
| 67 |
|
| 68 |
-
####
|
| 69 |
|
| 70 |

|
|
|
|
| 61 |
|
| 62 |

|
| 63 |
|
| 64 |
+
#### 공부방
|
| 65 |
|
| 66 |

|
| 67 |
|
| 68 |
+
#### 세재
|
| 69 |
|
| 70 |

|