Train own hugging face language model
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Updated
Nov 12, 2023 - Jupyter Notebook
Train own hugging face language model
COCO-Stuff dataset for huggingface datasets
PlantUML Generator
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.
Worked with research peers on Neuromatch academy. This is a Russian to English Deep learning NLP translation model
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.
🤗 Hugging Remix - Building modern user experiences with Hugging Face models focused on Natural Language Processing (NLP) tasks
Huggingface dataset for wikidata-simplequestions
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.
Image Retrieval
Homemade Copilot: Fine-tune LLM through LoftQ initialization and QLoRA-style training for code generation.
Train model to perform sentiment analysis on textual data.
Text classification with Hugging Face Transformers on Multilingual Amazon Reviews dataset
Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.
It is an end-to-end text summarizer application, which uses Meta's BART model and is fine-tuned on the Samsung dataset.
BERT model finetuned for question answering using custom context. Used Hugging Face Transformers and Datasets libraries.
List of HuggingFace Datasets
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