Image Classification
Transformers
Safetensors
vit
image-classification, faces-recognition
Generated from Trainer
Instructions to use al-css/faces_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use al-css/faces_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="al-css/faces_classification") 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("al-css/faces_classification") model = AutoModelForImageClassification.from_pretrained("al-css/faces_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from al-css/faces_classification: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/al-css/faces_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://al-css/faces_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/al-css/faces_classification/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 5ae40c05214f8f8654da7ce285f0c66cf611453bae57dd49ec57536b28e5f944
- Size of remote file:
- 5.11 kB
- SHA256:
- b11a8789796e561140c117bed78b41dfe8a514654c5602d9b2d5da55d640e231
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