Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Raihan004/Action_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raihan004/Action_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Raihan004/Action_model") 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_model") model = AutoModelForImageClassification.from_pretrained("Raihan004/Action_model") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Apr15_19-54-29_beac81f7e97f
- Apr16_07-14-49_7b4e89625b83
- Apr16_13-47-24_a962527840ae
- Apr17_07-35-21_780228e9e9f6
- Apr17_11-33-15_a10a130002dd
- Apr17_12-23-55_b85bd6c644ee
- Apr17_15-48-28_43f826248acb
- Apr17_17-04-50_43f826248acb
- Apr17_18-44-31_49f673bfb0ca
- Apr18_08-26-03_0516a0f7e8d9
- Apr18_13-48-02_895abc48f543
- Jun01_14-51-37_6c3c2d6efe19
- May01_07-50-39_5c48e9aaec37
- May07_17-20-53_6cf576645707
- May07_17-56-54_6cf576645707
- May09_07-16-20_361db62a36de