Topic: distilbert-model Goto Github
Some thing interesting about distilbert-model
Some thing interesting about distilbert-model
distilbert-model,This project classifies Internet Hinglish memes using multimodal learning. It combines text and image analysis to categorize memes by sentiment and emotion, leveraging the Memotion 3.0 dataset.
User: abhay-43
distilbert-model,Sentiment analysis using the distilbert-base-uncased model using the movies dataset.
User: abhiverse01
distilbert-model,A Deep Learning Based Voice Analytics toolkit
User: achintyax
distilbert-model,This project involves analyzing and classifying the BoolQ dataset from the SuperGLUE benchmark. We implemented various classifiers and techniques, including rules-based logic, BERT, RNN, and GPT-3/4 data augmentation, achieving performance improvements.
User: amberwalker-ds
distilbert-model,Implemented pre-trained Transformer-based distilBERT and BERT multilingual model to classify sentiments in positive or negative class and ranked them on scale of 1 to 5
User: ankit1281998
distilbert-model,This app searches reddit posts and comments to determine if a product or service has a positive or negative sentiment and predicts top product mentions using Named Entity Recognition
User: anudeepvanjavakam1
Home Page: https://litornot.streamlit.app/
distilbert-model,This project centers on elevating customer satisfaction by conducting sentiment analysis on customer feedback for an online classes and video conferencing app. The aim is to decipher customer sentiments in their feedback, extract insights, and improve user experience while addressing any concerns.
User: aravinth-megnath
distilbert-model,This project is designed to streamline the recruitment process by providing a job and resume matching system and a chatbot for applicants. The key functionalities include: Job and Resume Matching and LLM powered chatbot
User: asfkfjhe
distilbert-model,Advanced NLP with Contextual Question Answering: This notebook extracts, cleans, and processes text data from multiple files. It utilizes transformer models for contextual question answering and sentence generation. Perfect for exploring cutting-edge NLP techniques and comparing transformer model performances.
User: asma-hachaichi
distilbert-model,Sentiment analysis on products reviews with Vader and Distilbert
User: brge-93
distilbert-model,The data and code for my master's thesis for the MA Digital Text Analysis at the University of Antwerp
User: dimboump
distilbert-model,Thesis Project
User: gr3gor1
distilbert-model,Finetuning DistilBERT on IMDB Dataset
User: gupta-achal02
distilbert-model,The official repository for the PSYCHIC model
User: hannaabiakl
distilbert-model,
User: jedirhymetrix
distilbert-model,LLM transformer Classifier with DistilBERT model
User: julicq
distilbert-model,Fine tuning pre-trained transformer models in TensorFlow and in PyTorch for question answering
User: jungsoh
distilbert-model,This paper describes Humor Analysis using Ensembles of Simple Transformers, the winning submission at the Humor Analysis based on Human Annotation (HAHA) task at IberLEF 2021.
User: karish-grover
distilbert-model,
User: kjsendrejas
distilbert-model,Finetuning the Bert-based LLM to predict whether the tweet is toxic or not
User: lalasa1234
distilbert-model,Fine tune bert on a question answering dataset that is further finetuned on finance data to answer questions posed by senior leadership
User: mariahferns
distilbert-model,Using Bert and Distilbert to fill in the gaps
User: mariaviana21
distilbert-model,Sentiment Analysis of movie reviews
User: mcxraider
distilbert-model,Finetune the Transformer model 'DistilBERT' with PyTorch framework . Then inference on a dataset by using this fine-tuned model with the help of Pipeline.
User: muktajoya
distilbert-model,Using BERT models to perform sentiment analysis on women's clothing
User: ongaunjie1
Home Page: https://huggingface.co/ongaunjie/distilbert-cloths-sentiment
distilbert-model,Deep learning for Natural Language Processing
User: pavlosdais
distilbert-model,Aim to build a question- answering product that can that can understand the information in these articles and answer some simple questions related to those articles.
User: pitbuk101
Home Page: https://pitbuk101-hugging-face-for-question-answer-streamlit-app-1h8tem.streamlit.app/
distilbert-model,Performing named entity extraction task using Huggingface Transformers
User: ritaprava95
distilbert-model,Multiclass classification on tweets about the coronavirus
User: rybread1
distilbert-model,We explored recent studies in Question Answering System. Then tried out 3 different QA models(BERT and DistilBERT) for the sake of learning.
User: saifergit
distilbert-model,Successfully fine-tuned a pretrained DistilBERT transformer model that can classify social media text data into one of 4 cyberbullying labels i.e. ethnicity/race, gender/sexual, religion and not cyberbullying with a remarkable accuracy of 99%.
User: sayamalt
distilbert-model,Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.
User: sayamalt
distilbert-model,🗨️ This repository contains a collection of notebooks and resources for various NLP tasks using different architectures and frameworks.
User: selcia25
distilbert-model,Developing a feedback theory-informed natural language processing (NLP) model to enable large-scale evaluation of written feedback, and analysing a large set of feedback extracted from Moodle using this model to understand the presence of student-centred feedback elements, the commonality and differences in feedback provision across disciplines.
User: siddharth1989
distilbert-model,This repository contains my work on the prevention and anonymization of dox content on Twitter. It contains python code and demo of the proposed solution.
User: sonu-gupta
distilbert-model,Positive/negative sentiment model on cleaned text data using Distilbert NLP pre-trained model from Hugging Face
User: vflawson
distilbert-model,Classification, ADSA and Text Summarisation based project for BridgeI2I Task at Inter IIT 2021 Competition. Silver Medalists.
User: yashk1900
distilbert-model,
User: yashvakil
distilbert-model,This repository contains a DistilBERT model fine-tuned using the Hugging Face Transformers library on the IMDb movie review dataset. The model is trained for sentiment analysis, enabling the determination of sentiment polarity (positive or negative) within text reviews.
User: yonghaozhao722
Home Page: https://arxiv.org/abs/1910.01108
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