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 natural language processing (NLP) using Python. The course covers various topics such as text classification, sentiment analysis, topic modeling, and more. It also includes hands-on projects that allow learners to apply their knowledge in real-world scenarios. \n\nSmol-Course is designed for beginners with no prior experience in deep learning or NLP. It's part of the larger Hugging Face library which provides pre-trained models and tools for building and training your own models.",
"statistics_text_generation_1": {
"input_tokens": 15,
"output_tokens": 116
}
} | HuggingFaceTB/SmolLM2-1.7B-Instruct | The main focus of the Hugging Face Smol-Course is to provide an introduction to deep learning and natural language processing (NLP) using Python. The course covers various topics such as text classification, sentiment analysis, topic modeling, and more. It also includes hands-on projects that allow learners to apply their knowledge in real-world scenarios.
Smol-Course is designed for beginners with no prior experience in deep learning or NLP. It's part of the larger Hugging Face library which provides pre-trained models and tools for building and training your own models. |
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