nlp

fine-tune Wav2vec2. an ASR model released by Facebook

In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

无需预算，使用你的个人数据克隆自己——赛博飞升！Clone yourself by tuning a LLM using your own data.

疫情期间网民情绪识别比赛baseline，使用BERT进行端到端的fine-tuning，datafountain平台，平台评测F1值0.716。

Enhance your knowledge in medical research with the help of LLM and RAG.

A Word Level Transformer layer based on PyTorch and 🤗 Transformers.

Multimodal datasets.

This UI serves as a Synthetic ASR Dataset Generator powered by/for OpenAI Whisper, enabling users to capture audio, transcribing it, on the fly and manage the generated dataset 🤗. Fine tune Whisper or enhanced and custom datasets

Resume Insight: Fine-Tuning LLM for Resume Analysis

Enterprise-grade Knowledge Distillation framework for Persian Mental Health analysis. Distills reasoning capabilities from Llama-3-70b into a local Gemma-3-1b model using QLoRA and synthetic Chain-of-Thought datasets.

Instruction/chat prompts creation library for text generation LLMs. It supports local and Hugging Face models.

Deploy PhoBERT for Abstractive Text Summarization as REST API using StreamLit, Transformers by Hugging Face and PyTorch

VOXRAD is a voice transcription application for radiologists leveraging locally deployed ASR and LLM models.

NLP model that predicts subreddit based on the title of a post

A character tokenizer for Hugging Face Transformers

AI company, product, and tool collection.

Natural language control for Python CLI tools using locally-trained SLMs (CPU inference)

Cyrillic Mongolian text classification with tensorflow 2, and also some fine-tuning on TugsTugi's Mongolian BERT model and other NLP experiments are included.

Distilling Task-Specific Knowledge from Teacher Model into BiLSTM

Let ChatGPT (Large Language Models) Serve As Data Annotator and Zero-shot/few-shot Information Extractor.