Image Classification
Transformers
TensorBoard
ONNX
Safetensors
timm_model
image-feature-extraction
animetrans
dghs-imgutils
custom_code
Instructions to use deepghs-cv/cls-bangumibase-face-quality.caformer_s36 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepghs-cv/cls-bangumibase-face-quality.caformer_s36 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="deepghs-cv/cls-bangumibase-face-quality.caformer_s36", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deepghs-cv/cls-bangumibase-face-quality.caformer_s36", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K