Instructions to use RahulPil/dermi_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RahulPil/dermi_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="RahulPil/dermi_model") 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("RahulPil/dermi_model") model = AutoModelForImageClassification.from_pretrained("RahulPil/dermi_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2e4146d507d157b022787658f1cc14ced9fb334a0c9e76fa50e4a80d21be94f
- Size of remote file:
- 343 MB
- SHA256:
- babe571490d0a34958ab0138a6322e92816bf5c9ab2b2643be273139f5e79681
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