Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Raihan004/Action_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raihan004/Action_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Raihan004/Action_Classification") 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("Raihan004/Action_Classification") model = AutoModelForImageClassification.from_pretrained("Raihan004/Action_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee9e0cc52095845879a4b133bec88d60f838a9056bf65ab9260a9dc151b19ff4
- Size of remote file:
- 343 MB
- SHA256:
- b545eafa054b8893e1dbb14d2cffa24d769e2e9c83fa33f21c7f2b96b733b7c1
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