Convert Tensorflow model to TFLite Model light weight converting
Please give the issue a title that is relevant. This helps with searching for similar issues @selvakarna 
In order to expedite the trouble-shooting process here, could you please fill the issue [template](https://github.com/tensorflow/tensorflow/issues/new/choose) and kindly give more description on the issue reported. Thank you! I Try to convert Tensorflow model [Frozen_Graph.pb & label.pbtxt ] Into TFLite Model light weight converting.  @selvakarna Could you use the model path as follows;
```
converter = tf.lite.TFLiteConverter.from_saved_model(model_path) 
```
Please ensure you're loading the TFLite model correctly using `tf.lite.Interpreter`.

Thank you! This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.
### 1. System information

- Windows
-Tensorflow2


### 2. Code

import tensorflow as tf
import numpy as np
model_path ="Model\Path"
model = tf.saved_model.load(model_path)

converter=tf.lite.TFLiteConverter.from_keras_model(r"\saved_model.pb") #model_path
converter.optimizations=[tf.lite.Optimize.DEFAULT]
converter.experimental_new_converter = True
tflite_model = converter.convert() 
tflite_model = converter.convert()    
tflite_model_path="converted_.tflite"
with open(tflite_model_path,"wb") as f:
    f.write(tflite_model)
#### Option A: Reference colab notebooks
```

### 3. Failure after conversion
f not isinstance(self._keras_model.call, _def_function.Function):
AttributeError: 'str' object has no attribute 'call'


### 5. (optional) Any other info / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.
