Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use dhruvilHV/initial_ViT_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhruvilHV/initial_ViT_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dhruvilHV/initial_ViT_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("dhruvilHV/initial_ViT_model") model = AutoModelForImageClassification.from_pretrained("dhruvilHV/initial_ViT_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1564869b44eec02c0c06265346bc5d155d0eba79629cfd98da40dfe72ad669b1
- Size of remote file:
- 4.6 kB
- SHA256:
- fbcfe586223246fd5f507ee5142339d78c96702bc99be991bd83902eb67d10ee
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