Train a model using custom data
Manage and analyze datasets with AI tools
Create Reddit dataset
Data annotation for Sparky
Rename models in dataset leaderboard
Convert and PR models to Safetensors
Evaluate evaluators in Grounded Question Answering
Convert a model to Safetensors and open a PR
Convert PDFs to a dataset and upload to Hugging Face
Create a report in BoAmps format
Organize and process datasets efficiently
Create a large, deduplicated dataset for LLM pre-training
Manage and label data for machine learning projects
Sarthaksavvy Flux Lora Train is a specialized tool designed for training models using custom datasets. It leverages the power of Lora (Low-Rank Adaptation) and Flux, making it an efficient and flexible solution for dataset creation and model training. This tool is ideal for users who want to fine-tune models on specific tasks or adapt pre-trained models to their unique data requirements.
What data formats are supported by Sarthaksavvy Flux Lora Train?
Sarthaksavvy Flux Lora Train supports multiple data formats, including CSV, JSON, and standard image formats, making it versatile for various dataset types.
Can I use Sarthaksavvy Flux Lora Train for fine-tuning pre-trained models?
Yes, Sarthaksavvy Flux Lora Train is designed to support both fine-tuning pre-trained models and training models from scratch, offering flexibility based on your needs.
How scalable is Sarthaksavvy Flux Lora Train for large datasets?
Sarthaksavvy Flux Lora Train is built to handle datasets of varying sizes, from small-scale custom datasets to larger-scale applications, ensuring efficient performance across different scenarios.