This is Sagor Sarker
An enthusiastic NLP, AI, ML learner
pytorch based deep learning solution for bengali nlp task
Home Page: https://bendeep.readthedocs.io
License: MIT License
This is Sagor Sarker
An enthusiastic NLP, AI, ML learner
I am following the documentation of Machine Translation and trying to run the code on colab. But I am getting the following error
`Error:
Explanation:
Sentence contains out of vocabulary word. That means sentence has a word which not exist in trained data
/usr/local/lib/python3.7/dist-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.sparse.Embedding' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True
and use the patch tool to revert the changes.
warnings.warn(msg, SourceChangeWarning)
/usr/local/lib/python3.7/dist-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.rnn.GRU' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True
and use the patch tool to revert the changes.
warnings.warn(msg, SourceChangeWarning)
/usr/local/lib/python3.7/dist-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.linear.Linear' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True
and use the patch tool to revert the changes.
warnings.warn(msg, SourceChangeWarning)
/usr/local/lib/python3.7/dist-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.dropout.Dropout' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True
and use the patch tool to revert the changes.
warnings.warn(msg, SourceChangeWarning)`
FYI, I have successfully run the "Sentiment Analysis" code on colab and got proper output.
i was trying this :
from bendeep import sentiment
model_path = "senti_trained.pt"
vocab_path = "vocab.txt"
text = "রোহিঙ্গা মুসলমানদের দুর্ভোগের অন্ত নেই।জলে কুমির ডাংগায় বাঘ।আজকে দুটি ঘটনা আমাকে ভীষণ ব্যতিত করেছে।নিরবে কিছুক্ষন অশ্রু বিসর্জন দিয়ে মনটাকে হাল্কা করার ব্যর্থ প্রয়াস চালিয়েছি।"
sentiment.analyze(model_path, vocab_path, text)
can you share the vocab.txt with us? i just wanted to test
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