Dataset loaders for the BigLAM hackathon

Detect or classify input sentences as grammatically correct or incorrect by fine-tuning pre-trained DeBERTa-v3 model

My journey of learning NLP. Contains info about Basic NLP techniques, Hugging Face , GPT3and Spacy

Natural language model AI via HTTP

An image classifier model that can classify 60 parrot species with 93% accuracy

Traductor de español a ingles en la terminal.

This is a Pytorch implementation of a summarization model that is fine-tuned on the top of Google-T5 pre-trained model.

Collection of my hugging face repos

🤗 Hugging Remix - Building modern user experiences with Hugging Face models focused on Natural Language Processing (NLP) tasks

Mergekit Assistant is a cutting-edge toolkit designed for the seamless merging of pre-trained language models. It supports an array of models, offers various merging methods, and optimizes for low-resource environments with both CPU and GPU compatibility.

URL to App Conversion

CLI to deploy & query Hugging Face model to Amazon SageMaker

An AI model trained to analyze customer reviews and detect sentiments of. the reviews.

This project is a collection of lab works that demonstrate how to use large language models (LLMs) for various generative AI tasks, such as text summarization, PEFT, RL, RLHF.

In the realm of medical research and diagnostics, the classification and analysis of cancer-related data hold immense importance. Leveraging state-of-the-art natural language processing (NLP) techniques, this project endeavors to classify textual data associated with cancer-related information using BERT - a powerful LLM developed by Google.

PocDoc - Healthcare on Demand

Generating headlines for the VICE Youtube channel using BLOOM

How to deploy a BERT model from Hugging Face Model Hub to Amazon SageMaker for a Fill-Mask use case.

Classification of News articles with ML methods and Transformers

Q&A System Based On User Context