

Validating TFLite model
    -[✓] TFLite model output names match reference model (logits)
    - Validating TFLite Model output "logits":
        -[✓] (1, 128, 30522) matches (1, 128, 30522)
        -[x] values not close enough, max diff: 5.817413330078125e-05 (atol: 1e-05)
The TensorFlow Lite export succeeded with the warning: The maximum absolute difference between the output of the reference model and the TFLite exported model is not within the set tolerance 1e-05:
- logits: max diff = 5.817413330078125e-05.
 The exported model was saved at: bert_tflite
The example above illustrates exporting a checkpoint from 🤗 Hub. When exporting a local model, first make sure that you 
saved both the model's weights and tokenizer files in the same directory (local_path). When using CLI, pass the 
local_path to the model argument instead of the checkpoint name on 🤗 Hub. 