Load and activate a pre-trained model
Fine-tune LLMs to generate clear, concise, and natural language responses
One-Stop Gemma Model Fine-tuning, Quantization & Conversion
Transformers Fine Tuner: A user-friendly Gradio interface
Upload ML models to Hugging Face Hub from your browser
Login to use AutoTrain for custom model training
Fine Tuning sarvam model
YoloV1 by luismidv
Lora finetuning guide
Set up and launch an application from a GitHub repo
Fine-tune Gemma models on custom datasets
Create powerful AI models without code
Perform basic tasks like code generation, file conversion, and system diagnostics
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.