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no module named finbert found
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no module named finbert found
The following code generates a error:

from pathlib import Path
import sys
import argparse
import shutil
import os
import logging
from textblob import TextBlob

from pytorch_pretrained_bert.file_utils import PYTORCH_PRETRAINED_BERT_CACHE
from pytorch_pretrained_bert.modeling import BertForSequenceClassification
from pytorch_pretrained_bert.tokenization import BertTokenizer
from pytorch_pretrained_bert.optimization import *

from finbert.finbert import *
import finbert.utils as tools
from pprint import pprint
from sklearn.metrics import classification_report
%load_ext autoreload
%autoreload 2

project_dir = Path.cwd().parent
pd.set_option('max_colwidth', -1)

ModuleNotFoundError Traceback (most recent call last)
<ipython-input-5-6e2ffec00ab6> in <module>
13 from pytorch_pretrained_bert.optimization import *
---> 15 from finbert.finbert import *
16 import finbert.utils as tools
17 from pprint import pprint

ModuleNotFoundError: No module named 'finbert'

I tried to install finbert embedding it installed, but no luck. I even tried to install a finbert module.

I have been googling all options, as outlined above, but one seem to work.

How do I fix this error? I created an environment with

conda env create -f environment.yml

I have not used this command much. I generally use a reqiirements.txt file.

I am not sure of the difference.

Any help appreciated. I am using a docker jupyter notebook tensorflow image, I thought was the easiest way.

My os in Windows 10 pro.

But it keeps throwing this error.

Any help appreciated.


I think that I see the issue. I am just not sure what to do to fix it.

In the Github directory for this project there is a finbert directory and inside that directory
is, plus other files most with the extension *.py.

That must be the module that they are talking about. How do I get it in the right location so the command
shown above that is giving the error goes away.

Any help appreciated. Thanks in advance.


Generally, you'll just put the directory (named finbert) with all the files inside somewhere in your python search path. As this program is expecting from finbert.finbert import *, to work, I would expect 2 levels of "finbert" directories before the *.py files.

Are you using Anaconda? Did you follow the anaconda installation directions?
I am not using Anaconda, but I will try what you said. Thanks for your help.

Please understand, that although I use python everyday, there are still some basic errors that I occasionally trip over.



I have the following code to retrieve a sentiment from the given sentence using the FinBert model:

MAX_LEN = 160
class_names = ['negative', 'neutral', 'positive']

encoded_new = tokenizer.encode_plus(
review_text, # Sentence to encode.
add_special_tokens = True, # Add '[CLS]' and '[SEP]'
max_length = MAX_LEN, # Pad & truncate all sentences.
pad_to_max_length = True,
return_attention_mask = True, # Construct attn. masks.
return_tensors = 'pt', # Return pytorch tensors.

# Add the encoded sentence to the list.
input_idst = (encoded_new['input_ids'])
attention_maskst = (encoded_new['attention_mask'])

# Convert the lists into tensors.
input_idst =[input_idst], dim=0)
attention_maskst =[attention_maskst], dim=0)

new_test_output = model(input_idst, token_type_ids=None,

logits = new_test_output[0]
predicted = logits.detach().numpy()

# Store predictions
flat_predictions = np.concatenate(predicted, axis=0)

# For each sample, pick the label (0 or 1) with the higher score.
new_predictions = np.argmax(flat_predictions).flatten()


How can I apply this code to a whole column in a csv dataset (for each row) instead of an individual sentence and get predictions?
Sorry for the trivial question, since I am relatively new to Python. Thank you!

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