Getting started with Hugging Face
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Updated
Apr 10, 2024 - Jupyter Notebook
Getting started with Hugging Face
Generate summaries from texts using Streamlit & HuggingFace Pipeline
Running Stable diffusion from a mobile phone using Termux
Question Answering with Streamlit & HuggingFace Pipeline
A Turkish question answering system made by fine-tuning BERTurk and XLM-Roberta models.
A Turkish question answering system made by fine-tuning BERTurk and XLM-Roberta models.
HFDownloader - Hugging Face Model Downloader
Containerized self-hosted REST API for image & video classification, utilizing Hugging Face transformers.
This is a project done for an assessment. I found it to be interesting and decided to share this. The idea is to create a scraper to scrap the Wikipedia page and generate question and answers
Template to serve, optimize and scale 🤗 pipeline in production with Torchserve & Docker
Zero Shot Classification with HuggingFace Pipeline
fine-tuning project with the LLaMA model: Llama-2-7b-chat-finetune This repository provides an implementation for fine-tuning the LLaMA-2-7b model on conversational datasets utilizing the
PoC for HuggingFace Multi-worker Server
Project predicting geolocation from tweets as part of Yachay.ai externship
ClassyText is a demo for zero-shot text classification using DeBERTa-v3-large from Hugging Face.
Hybrid Retrieval System combining keyword matching (BM25) with semantic similarity (Vectorstore) for improved retrieval.
This is the avishkaarak-ekta-hindi model, fine-tuned using the SQuAD2.0 dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering.
Render a sketch using a Huggingface pipeline
Containerized self-hosted REST API for interacting with Hugging Face NLP models.
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