Create README.md

README.md

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+---
+license: mit
+tags:
+- robotics
+- humanoid
+- action-recognition
+- deep-learning
+- computer-vision
+pipeline_tag: image-classification
+---
+
+# Humanoid Action Classifier v1
+
+This model is designed for humanoid robot action recognition.
+It classifies basic humanoid movements from image input.
+
+## Supported Actions
+- walk
+- run
+- sit
+- stand
+- wave
+- pick_object
+- turn_left
+- turn_right
+
+## Model Details
+- Architecture: CNN (ResNet18 backbone)
+- Framework: PyTorch
+- Input Size: 224x224 RGB
+- Output: 8 action classes
+
+## Training Info
+Trained on a synthetic humanoid action dataset.
+Optimized for robotics simulation environments.
+
+## Usage
+
+```python
+from transformers import AutoModelForImageClassification
+from PIL import Image
+import torch
+
+model = AutoModelForImageClassification.from_pretrained("your-username/humanoid-action-classifier-v1")
+
+image = Image.open("test.jpg")
+inputs = processor(images=image, return_tensors="pt")
+
+with torch.no_grad():
+    outputs = model(**inputs)
+
+predicted_class = outputs.logits.argmax(-1)