Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use dacunaq/vit-base-patch32-384-finetuned-humid-classes-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dacunaq/vit-base-patch32-384-finetuned-humid-classes-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dacunaq/vit-base-patch32-384-finetuned-humid-classes-21") 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("dacunaq/vit-base-patch32-384-finetuned-humid-classes-21") model = AutoModelForImageClassification.from_pretrained("dacunaq/vit-base-patch32-384-finetuned-humid-classes-21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dacunaq/vit-base-patch32-384-finetuned-humid-classes-21: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/dacunaq/vit-base-patch32-384-finetuned-humid-classes-21/resolve/main/training_args.bin
- Command line
-
hf download hf://dacunaq/vit-base-patch32-384-finetuned-humid-classes-21/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dacunaq/vit-base-patch32-384-finetuned-humid-classes-21/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 12bf185b9142f8275094b23f190a3ad8d6ab0ceaa4d5f14caccdb7861d953a0f
- Size of remote file:
- 5.91 kB
- SHA256:
- 222e0f2c91373436e4f2c3127802c628fac3e5c2a33cb6c85624c3c4e308d682
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