Update README.md

README.md

@@ -14,31 +14,6 @@ Based on random forest regression for robust and interpretable predictions
 Installation
 To install the muscle_sense_net model, follow the instructions in the Hugging Face model repository.
 
-## Usage
-For detailed instructions on how to use muscle_sense_net with your own data, please refer to the accompanying Jupyter Notebook or the official documentation on the openmuscle.org website.
-
-A simple example of using the model for inference:
-
-```python
-from transformers import AutoModelForSequenceClassification, AutoTokenizer
-
-# Load the tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("your-username/muscle_sense_net")
-model = AutoModelForSequenceClassification.from_pretrained("your-username/muscle_sense_net")
-
-# Prepare the input data
-pressure_data = "your pressure data here"
-inputs = tokenizer(pressure_data, return_tensors="pt")
-
-# Perform inference
-predictions = model(**inputs)
-
-# Process the results
-predicted_finger_movements = process_predictions(predictions)
-```
-
-Replace "your-username" with your actual Hugging Face username and "your pressure data here" with the pressure data you want to use for inference.
-
 # Contributing
 Contributions to muscle_sense_net are welcome. Please submit your pull requests or open an issue on the project's GitHub repository. For more information about the project and how to contribute, visit openmuscle.org.