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Update README.md
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README.md
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@@ -11,4 +11,64 @@ license: "apache-2.0"
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---
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# Model Card
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`blenderbot-small-tflite` is a tflite version of `blenderbot-small-90M` I converted for my UTA CSE3310 class. See the repo at [https://github.com/kmosoti/DesparadosAEYE](https://github.com/kmosoti/DesparadosAEYE) and the conversion process [here](https://colab.research.google.com/drive/1YRLxI92MdpUV0d-W5ToQfe3_J_9a4PF4?usp=sharing).
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---
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# Model Card
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`blenderbot-small-tflite` is a tflite version of `blenderbot-small-90M` I converted for my UTA CSE3310 class. See the repo at [https://github.com/kmosoti/DesparadosAEYE](https://github.com/kmosoti/DesparadosAEYE) and the conversion process [here](https://colab.research.google.com/drive/1YRLxI92MdpUV0d-W5ToQfe3_J_9a4PF4?usp=sharing).
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You have to right pad your user and model input integers to make them [32,]-shaped. Then indicate te true length with the 3rd and 4th params.
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```python
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display(interpreter.get_input_details())
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display(interpreter.get_output_details())
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```
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```json
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[{'dtype': numpy.int32,
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'index': 0,
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'name': 'input_tokens',
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'quantization': (0.0, 0),
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'quantization_parameters': {'quantized_dimension': 0,
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'scales': array([], dtype=float32),
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'zero_points': array([], dtype=int32)},
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'shape': array([32], dtype=int32),
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'shape_signature': array([32], dtype=int32),
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'sparsity_parameters': {}},
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{'dtype': numpy.int32,
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'index': 1,
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'name': 'decoder_input_tokens',
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'quantization': (0.0, 0),
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'quantization_parameters': {'quantized_dimension': 0,
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'scales': array([], dtype=float32),
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'zero_points': array([], dtype=int32)},
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'shape': array([32], dtype=int32),
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'shape_signature': array([32], dtype=int32),
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'sparsity_parameters': {}},
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{'dtype': numpy.int32,
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'index': 2,
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'name': 'input_len',
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'quantization': (0.0, 0),
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'quantization_parameters': {'quantized_dimension': 0,
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'scales': array([], dtype=float32),
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'zero_points': array([], dtype=int32)},
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'shape': array([], dtype=int32),
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'shape_signature': array([], dtype=int32),
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'sparsity_parameters': {}},
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{'dtype': numpy.int32,
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'index': 3,
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'name': 'decoder_input_len',
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'quantization': (0.0, 0),
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'quantization_parameters': {'quantized_dimension': 0,
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'scales': array([], dtype=float32),
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'zero_points': array([], dtype=int32)},
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'shape': array([], dtype=int32),
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'shape_signature': array([], dtype=int32),
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'sparsity_parameters': {}}]
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[{'dtype': numpy.int32,
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'index': 3112,
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'name': 'Identity',
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'quantization': (0.0, 0),
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'quantization_parameters': {'quantized_dimension': 0,
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'scales': array([], dtype=float32),
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'zero_points': array([], dtype=int32)},
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'shape': array([], dtype=int32),
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'shape_signature': array([], dtype=int32),
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'sparsity_parameters': {}}]
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```
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