Working with Hugging Face
Pixeltable provides seamless integration with Hugging Face datasets and models.
Updated Open in Colab
Pixeltable's Groq integration enables you to access Groq models via the Groq API.
Providers · Notebook · Updated
Colab runs it in your browser. If it calls a model provider, it asks for that provider's API key in a cell.
pip install pixeltable groq
GROQ_API_KEYgroq.chat_completions()pxt.create_table()add_computed_column()insert()from pixeltable.functions import groq# Create a table in Pixeltable and add a computed column that calls OpenAIt = pxt.create_table('groq_demo/chat', {'input': pxt.String})messages = [{'role': 'user', 'content': t.input}]t.add_computed_column(output=groq.chat_completions(messages=messages,model='openai/gpt-oss-20b',model_kwargs={# Optional dict with parameters for the Groq API'max_tokens': 300,'top_p': 0.9,'temperature': 0.7,},))
One cell of the notebook, copied as it is. Open it in Colab for the rest.
Pixeltable provides seamless integration with Hugging Face datasets and models.
Pixeltable's Jina AI integration enables you to access state-of-the-art embedding and reranker models via the Jina AI API.
This tutorial demonstrates how to use Pixeltable's built-in llama.cpp integration to run local LLMs efficiently.
Pixeltable's Mistral AI integration enables you to access Mistral's LLM and other models via the Mistral AI API.