Row 2182

Row ID: 2182 | Dataset Entry | Axioma AXP Content Repository

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so have this transformer model of fingerspelling that i trained, then I modified it inside tf.module so it accept the frames input only (lets call it tflitemodel). the tflitemodel itself works normally and can be used. however when I wanted to save it as tflite model it return"tflitemodel has no attribute call). i can save the original model just fine. here is the notebook in kaggle. [The notebook](https://www.kaggle.com/code/daewogibran/aslfr/notebook?scriptVersionId=136347347).

i ve seen other notebook using tf module and it works. it really make me stuck I tried using tf.keras.model but it doesn't like the embedding and loop for some reason. any help would be appreciated

FieldValue
text so have this transformer model of fingerspelling that i trained, then I modified it inside tf.module so it accept the frames input only (lets call it tflitemodel). the tflitemodel itself works normally and can be used. however when I wanted to save it as tflite model it return"tflitemodel has no attribute call). i can save the original model just fine. here is the notebook in kaggle. [The notebook](https://www.kaggle.com/code/daewogibran/aslfr/notebook?scriptVersionId=136347347). i ve seen oth…
label r/tensorflow
dataType post
communityName r/tensorflow
datetime 2023-07-11
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Raw Record

{
  "text": "so have this transformer model of fingerspelling that i trained, then I modified it inside tf.module so it accept the frames input only (lets call it tflitemodel). the tflitemodel itself works normally and can be used. however when I wanted to save it as tflite model it return\"tflitemodel has no attribute call). i can save the original model just fine. here is the notebook in kaggle. [The notebook](https://www.kaggle.com/code/daewogibran/aslfr/notebook?scriptVersionId=136347347). \n\ni ve seen other notebook using tf module and it works. it really make me stuck I tried using tf.keras.model but it doesn't like the embedding and loop for some reason. any help would be appreciated",
  "label": "r/tensorflow",
  "dataType": "post",
  "communityName": "r/tensorflow",
  "datetime": "2023-07-11",
  "username_encoded": "Z0FBQUFBQm5LakwwbVdMZndsbHJtUGxFNmw5dk5NeHh6QTBBc29yMjMzRlpKaW9KbGFKcXkyTHRGR0xva3BzbVU5bWxRY2ZMc3EyYVRVNXh2MzJuNm91YW9jalFrLVF5dlE9PQ==",
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Entry Information