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**config/config_default.yml**
llm:
type: 'HuggingFacePipeline'
name: 'Qwen-14B-Chat'
max_new_tokens: 4096
cammand:
> python run_pipeline.py \
…
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## *Repository Creation Request*
Use this to get your experiment repository created or updated on GitHub under Virtual Labs organization.
1. #### Coordinating Institute: Amrita Vishwa Vidyapeeth…
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Getting this error:
python src/feature_eng.py
Traceback (most recent call last):
File "src/feature_eng.py", line 13, in
from src.adjective_counter import AdjectiveCountTransformer, NumberOf…
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README needs to be updated to include Laplacian smoothing and tokenizer info. Plus need to elaborate on the fact data used to choose Naive Bayes classifier was based on movie reviews, rather than twee…
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This issue documents the complete code to fine-tune BERT to perform sentiment analysis on a dataset of plain-text IMDB movie reviews. You will learn how to train a model and preprocess texts into appr…
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1. 모델 찾기
2. 모델 구동해보기
3. 스프링에서 인공지능 모델로부터 데이터 결과값 받아오는 방법
4. 기본적인 웹 구현 방향 설계
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Team Members:
Niranjan Bekoju
Luja Shakya
Anusha Bajracharya
Sunil Banmala
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While trying to get a good feel for the performance of the pre-trained model on 'IMDB: movie review sentiment classification', I was hoping to run a simple, reproducible, fine-tuning run with learning…
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Trying to classify the sentiment of the movie review using TF Hub. I encounter this error. batch() got an unexpected keyword argument 'drop_remainder'.
```
>>> estimator.train(input_fn=train_input…
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InvalidArgumentError: Graph execution error:
2 root error(s) found.
(0) INVALID_ARGUMENT: No OpKernel was registered to support Op 'CudnnRNN' used by {{node CudnnRNN}} with these attrs: [seed=0…