notebooks to finetune `bert-small-amharic`, `bert-mini-amharic`, and `xlm-roberta-base` models using an Amharic text classification dataset and the transformers library
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Updated
May 10, 2024 - Jupyter Notebook
notebooks to finetune `bert-small-amharic`, `bert-mini-amharic`, and `xlm-roberta-base` models using an Amharic text classification dataset and the transformers library
Notebooks for fine-tuning and evaluating pre-trained BERT models to tasks for semantic search in Web API documentation
Notebooks for fine-tuning and evaluating a pre-trained BERT model to the task of semantic parameter matching in Web APIs
This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.
Notebooks Colab das atividades práticas da disciplina de Tópicos Especiais em Computação: Semântica e Recuperação de Informação.
This repository contains notebooks & python scripts for fine tuning BERT for sentiment classification task
Notebook uses TensorFlow to finetune BERT for text classification task
A data analasys application in a Jupyter Notebook that is able to determine the efficiency of the GPT API and BERT in classifying scientific papers.
Notebooks for teaching transformers and fine-tuning a pre-trained BERT model
NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
Coursera Practical Data Science on AWS Specialization Courses Notebooks.
Codes, scripts, and notebooks on various aspects of transformer models.
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
A notebook that contains a collection of NLP models that automatically score essays
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
the notebook and generated texts created for the DAGPap22
Repository with Deep Learning implementations in Jupyter Notebooks
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