time-series data and textual query. For instance:

Example question with engine signal data and query

time_series_data = "path_to_time_series_data" # Example: "engine_signal_data.csv"
query = "What is the condition of the engine?"

Process the data and make predictions

Assuming you have preprocessed the time-series data into the correct format

inputs = tokenizer(query, return_tensors="pt")
outputs = model.generate(inputs["input_ids"])

Decode and output the result

decoded_output = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(decoded_output)
这里边似乎没有看到time_series_data 在哪使用了