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Update README.md

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  1. README.md +6 -7
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@@ -98,17 +98,16 @@ predict("DVAJ-548_CH_SD")
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  ## How to Get Started with the Model
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- ### step 1:
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- Save all the model files into a directory, such as 'model'
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- ### step 2:
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  Create a python file under this model, such as 'use_model.py'
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  ```python
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  import torch
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  from transformers import BertForSequenceClassification, BertTokenizer
 
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  # load model
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- model = BertForSequenceClassification.from_pretrained("./sexual_detection")
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- # load tokenizer
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- tokenizer = BertTokenizer.from_pretrained("./sexual_detection")
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  def predict(text):
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  encoding = tokenizer(text, return_tensors="pt")
@@ -126,7 +125,7 @@ def predict(text):
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  predict("Tiffany Doll - Wine Makes Me Anal (31.03.2018)_1080p.mp4")
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  ```
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- ### step 3:
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  Run
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  ```shell
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  python3 use_model.py
 
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  ## How to Get Started with the Model
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+
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+ ### step 1:
 
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  Create a python file under this model, such as 'use_model.py'
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  ```python
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  import torch
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  from transformers import BertForSequenceClassification, BertTokenizer
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+
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  # load model
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+ tokenizer = BertTokenizer.from_pretrained("uget/sexual_content_dection")
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+ model = BertForSequenceClassification.from_pretrained("uget/sexual_content_dection")
 
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  def predict(text):
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  encoding = tokenizer(text, return_tensors="pt")
 
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  predict("Tiffany Doll - Wine Makes Me Anal (31.03.2018)_1080p.mp4")
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  ```
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+ ### step 2:
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  Run
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  ```shell
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  python3 use_model.py