text-classification

A PyTorch-based toolkit for natural language processing

A Framework for Textual Entailment based Zero Shot text classification

This is the corresponding code for the book Transformers in Action

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper

Applying NLP transfer learning techniques to predict Tweet stance toward a topic

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

Scripts and Approach for Amazon ML Challenge

Emotions recognition from audio and text files (only russian language)

Completion After Prompt Probability. Make your LLM make a choice

The largest multilingual image-text classification dataset. It contains fashion products.

Emotion text classification using Llama3-8b with LoRA and FlashAttention. Based on LLaMA-Factory.

Unofficial (Golang) Go bindings for the Hugging Face Inference API

Topic Inference with Zeroshot models

🤖📇 handling multiple nlp task in one pipeline

📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) dataset and the LoRA technique.

An open-source pipeline for training natural language understanding models

Text Classification in Turkish Texts with Bert