romnatall commited on
Commit
6a3534a
1 Parent(s): f29c8e2

chache bert model

Browse files
pages/film_review/model/__pycache__/model_bert.cpython-312.pyc ADDED
Binary file (2.59 kB). View file
 
pages/film_review/model/__pycache__/model_lstm.cpython-312.pyc CHANGED
Binary files a/pages/film_review/model/__pycache__/model_lstm.cpython-312.pyc and b/pages/film_review/model/__pycache__/model_lstm.cpython-312.pyc differ
 
pages/film_review/model/model_bert.py CHANGED
@@ -11,11 +11,11 @@ def get_model():
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  model = AutoModel.from_pretrained("cointegrated/rubert-tiny2")
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  tokenizer = AutoTokenizer.from_pretrained("cointegrated/rubert-tiny2")
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  return model, tokenizer
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-
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  def predict_bert(input_text):
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  MAX_LEN = 300
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- model, tokenizer = get_model()
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  tokenized_input = tokenizer.encode(input_text, add_special_tokens=True, truncation=True, max_length=MAX_LEN)
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  padded_input = np.array(tokenized_input + [0]*(MAX_LEN-len(tokenized_input)))
 
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  model = AutoModel.from_pretrained("cointegrated/rubert-tiny2")
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  tokenizer = AutoTokenizer.from_pretrained("cointegrated/rubert-tiny2")
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  return model, tokenizer
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+ model, tokenizer = get_model()
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  def predict_bert(input_text):
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  MAX_LEN = 300
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+
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  tokenized_input = tokenizer.encode(input_text, add_special_tokens=True, truncation=True, max_length=MAX_LEN)
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  padded_input = np.array(tokenized_input + [0]*(MAX_LEN-len(tokenized_input)))