Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use SonishMaharjan/ditmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SonishMaharjan/ditmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SonishMaharjan/ditmodel") 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("SonishMaharjan/ditmodel") model = AutoModelForImageClassification.from_pretrained("SonishMaharjan/ditmodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c49c91474d9371db9eb09ce948fe40ee5b20b766e07ece1159629f58bc780b26
- Size of remote file:
- 4.6 kB
- SHA256:
- f7547faaa8267222cf48cbb9996840bfc14287085efcee1866fd12cbae2cae8a
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