Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use hchcsuim/batch-size16_FFPP-raw_opencv-originalFPS_unaugmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hchcsuim/batch-size16_FFPP-raw_opencv-originalFPS_unaugmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hchcsuim/batch-size16_FFPP-raw_opencv-originalFPS_unaugmentation") 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("hchcsuim/batch-size16_FFPP-raw_opencv-originalFPS_unaugmentation") model = AutoModelForImageClassification.from_pretrained("hchcsuim/batch-size16_FFPP-raw_opencv-originalFPS_unaugmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hchcsuim/batch-size16_FFPP-raw_opencv-originalFPS_unaugmentation: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/hchcsuim/batch-size16_FFPP-raw_opencv-originalFPS_unaugmentation/resolve/main/training_args.bin
- Command line
-
hf download hf://hchcsuim/batch-size16_FFPP-raw_opencv-originalFPS_unaugmentation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hchcsuim/batch-size16_FFPP-raw_opencv-originalFPS_unaugmentation/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- a3ddae6f0a49bc8faf1d50084f71ec8a5c87187810e3e3b971c5f20f6823daca
- Size of remote file:
- 5.18 kB
- SHA256:
- 7ec8c1913a7c62a672b3ffce4e08c76a34d493b83ef6ac1cde23c753a6757b5c
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