Instructions to use RealNattawattHongthong/presscare with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use RealNattawattHongthong/presscare with timm:
import timm model = timm.create_model("hf_hub:RealNattawattHongthong/presscare", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 079c33c8ed45f730df62e3924a7b4346cb911ebdb4002beebdabe2a71694c602
- Size of remote file:
- 31.7 MB
- SHA256:
- 794101707ae2de6c5d9fae030cfadd00b5da11f5677cc018017a0ba1978abe73
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