--- library_name: transformers tags: [] --- # Model Card for Model ID ## Model Details ##test is to execute the function call import json class FunctionExecutor: def __init__(self): self.function_list = {} def add_function(self, function_name, function): self.function_list[function_name] = function def execute_function(self, function_name, arguments): func = self.function_list.get(function_name) if func: try: return func(**arguments) except TypeError as e: error_message = f"Error executing function '{function_name}': {e}" print(error_message) return error_message else: error_message = f"Function '{function_name}' not found." print(error_message) return error_message # Define the get_weather function def get_square(number): return number # Simulate a weather response # Create an instance of FunctionExecutor executor = FunctionExecutor() # Add the get_weather function to the function list executor.add_function('get_square', get_square) # Example JSON input json_input = '{"name": "get_square", "arguments": {"number": "99"}}' # Parse the JSON parsed_input = json.loads(json_input) # Extract the function name and arguments function_name = parsed_input['name'] arguments = parsed_input['arguments'] # Trace the execution of the get_weather function print("About to execute the get_weather function...") result = executor.execute_function(function_name, arguments) print(result) ##end of the function call code ### Model Description This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Downstream Use [optional] [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### Recommendations Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data [More Information Needed] ### Training Procedure #### Preprocessing [optional] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Factors [More Information Needed] #### Metrics [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] [More Information Needed] ## Environmental Impact Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]