Load and activate a pre-trained model
Upload ML models to Hugging Face Hub from your browser
Fine-tune Gemma models on custom datasets
YoloV1 by luismidv
Set up and launch an application from a GitHub repo
Transformers Fine Tuner: A user-friendly Gradio interface
Perform basic tasks like code generation, file conversion, and system diagnostics
Lora finetuning guide
Fine-tune LLMs to generate clear, concise, and natural language responses
First attempt
Create powerful AI models without code
Create stunning graphic novels effortlessly with AI
Fine Tuning sarvam model
Skill Assessment is a tool designed to evaluate and enhance the performance of pre-trained models. It allows users to load and activate a model, providing insights into its capabilities and identifying areas for improvement. This tool is particularly useful for fine-tuning models to achieve better results in specific tasks or datasets.
What does Skill Assessment do?
Skill Assessment evaluates the performance of pre-trained models, providing detailed insights for fine-tuning and improvement.
How accurate is the benchmarking feature?
The benchmarking feature delivers highly accurate comparisons, as it evaluates models across standardized criteria and datasets.
Can I use Skill Assessment for any type of model?
Yes, Skill Assessment supports a variety of models, allowing you to assess performance across different architectures and tasks.