Instructions to use thenewsupercell/DF_Image_VIT_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thenewsupercell/DF_Image_VIT_V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="thenewsupercell/DF_Image_VIT_V1") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("thenewsupercell/DF_Image_VIT_V1") model = AutoModelForImageClassification.from_pretrained("thenewsupercell/DF_Image_VIT_V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Model save
Verified signaturefc53f98 -
Model save
Verified signaturedf438a5
-
thenewsupercell/DF_Image_VIT
Verified signatured29f91f -
Model save
Verified signature2bc8b5c -
thenewsupercell/DF_Image_VIT
Verified signature8a16561 -
Model save
Verified signature866cbd9 -
thenewsupercell/DF_Image_VIT
Verified signatureb65b429 -
Model save
Verified signature9dbb99e