موقع اجرا نوت زیر نمایش داده میشود آیا مواردی است که باید اعمال شود ؟
Some layers from the model checkpoint at HooshvareLab/bert-base-parsbert-ner-uncased were not used when initializing TFBertForTokenClassification: ['dropout_37']
- This IS expected if you are initializing TFBertForTokenClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing TFBertForTokenClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
All the layers of TFBertForTokenClassification were initialized from the model checkpoint at HooshvareLab/bert-base-parsbert-ner-uncased.
If your task is similar to the task the model of the checkpoint was trained on, you can already use TFBertForTokenClassification for predictions without further training.
موقع اجرا نوت زیر نمایش داده میشود آیا مواردی است که باید اعمال شود ؟
Some layers from the model checkpoint at HooshvareLab/bert-base-parsbert-ner-uncased were not used when initializing TFBertForTokenClassification: ['dropout_37']
All the layers of TFBertForTokenClassification were initialized from the model checkpoint at HooshvareLab/bert-base-parsbert-ner-uncased.
If your task is similar to the task the model of the checkpoint was trained on, you can already use TFBertForTokenClassification for predictions without further training.