rvv-karma
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Human-Action-Recognition-VIT-Base-patch16-224

Image Classification

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rvv-karma commited on Dec 10, 2023

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@@ -19,8 +19,7 @@ pipeline_tag: image-classification
 # Human-Action-Recognition-VIT-Base-patch16-224
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on
-[Bingsu/Human_Action_Recognition](https://huggingface.co/datasets/Bingsu/Human_Action_Recognition) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.4005
 - Accuracy: 0.8786
@@ -40,7 +39,7 @@ You can use the model for image classification.
 ### How to use
 Here is how to use this model to classify an image of the human action into one of the following categories:
-['calling', 'clapping', 'cycling', 'dancing', 'drinking', 'eating', 'fighting', 'hugging', 'laughing', 'listening_to_music', 'running', 'sitting', 'sleeping', 'texting', 'using_laptop']
 ```python
 from transformers import pipeline

 # Human-Action-Recognition-VIT-Base-patch16-224
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on [Bingsu/Human_Action_Recognition](https://huggingface.co/datasets/Bingsu/Human_Action_Recognition) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.4005
 - Accuracy: 0.8786
 ### How to use
 Here is how to use this model to classify an image of the human action into one of the following categories:
+'calling', 'clapping', 'cycling', 'dancing', 'drinking', 'eating', 'fighting', 'hugging', 'laughing', 'listening_to_music', 'running', 'sitting', 'sleeping', 'texting', 'using_laptop'
 ```python
 from transformers import pipeline