Dataset Viewer
instruction
stringclasses 1
value | distilabel_metadata
dict | model_name
stringclasses 1
value | response
stringclasses 1
value |
|---|---|---|---|
What is the main focus of the Hugging Face Smol-Course? | {
"raw_input_text_generation_1": [
{
"content": "What is the main focus of the Hugging Face Smol-Course?",
"role": "user"
}
],
"raw_output_text_generation_1": "The main focus of the Hugging Face Smol-Course is to provide an introduction to deep learning and neural networks using Python. It covers topics such as data preprocessing, model architecture, training, and evaluation. The course also includes hands-on projects that allow learners to apply their knowledge in real-world scenarios. \n\nIt's designed for beginners with no prior experience in machine learning or deep learning. The course uses PyTorch as its primary framework, which provides a comprehensive set of tools and resources for building and training models. \n\nOverall, it aims to equip learners with the skills necessary to build and train their own deep learning models,",
"statistics_text_generation_1": {
"input_tokens": 15,
"output_tokens": 128
}
} | HuggingFaceTB/SmolLM2-1.7B-Instruct | The main focus of the Hugging Face Smol-Course is to provide an introduction to deep learning and neural networks using Python. It covers topics such as data preprocessing, model architecture, training, and evaluation. The course also includes hands-on projects that allow learners to apply their knowledge in real-world scenarios.
It's designed for beginners with no prior experience in machine learning or deep learning. The course uses PyTorch as its primary framework, which provides a comprehensive set of tools and resources for building and training models.
Overall, it aims to equip learners with the skills necessary to build and train their own deep learning models, |
README.md exists but content is empty.
- Downloads last month
- 54