Train own hugging face language model

COCO-Stuff dataset for huggingface datasets

Proyecto curso MDS7201-1, en conjunto con el Centro de Modelamiento Matemático (CMM)

High-level API for tar-based dataset

Microsoft COCO: Common Objects in Context for huggingface datasets

Performing the task of dialogue summarisation using Generative AI, whilst comparing the effects of zero shot, one shot and few shot prompt engineering. These steps are used to enhance the completion of Large Language Models (LLMs))

COCOA: Semantic Amodal Segmentation for huggingface datasets

datasets demo for ai4lam

Python SDK to use HuggingFace's datasets server API

This repository is your gateway to a collection of applications and projects developed using the LangChain Framework. You'll find a diverse range of software solutions, showcasing the flexibility and capabilities of the framework. From web applications to mobile apps and beyond, our projects cover a wide spectrum of use cases and industries.

PubLayNet for huggingface datasets

Reproducible implementation using ai2-tango for JGLUE, Japanese benchmark

This repository contains a code snippet that demonstrates text generation using a language model. The code focuses on the concepts of one-shot, few-shot, and zero-shot inferences, showcasing how to create prompts, generate text, and compare the generated output with human-written summaries.

JSNLI (Japanese SNLI) dataset for huggingface datasets

Worked with research peers on Neuromatch academy. This is a Russian to English Deep learning NLP translation model

diffusion model for unconditional image generation of Bored Apes

Gemma-2b-it LLM has been finetuned on a dataset of Python codes, enabling it to proficiently learn Python syntax and assist in debugging tasks, offering valuable guidance to programmers.

A simple conversational agent that answers Wikipedia questions about anyone.