Working with fal.ai in Pixeltable
Pixeltable's fal.ai integration enables you to access fal.ai's fast inference models via the fal.ai API.
Pixeltable's Deepseek integration enables you to access Deepseek's LLM via the Deepseek 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 openai
DEEPSEEK_API_KEYdeepseek.chat_completions()pxt.create_table()add_computed_column()insert()from pixeltable.functions import deepseek# Create a table in Pixeltable and add a computed column that calls Deepseekt = pxt.create_table('deepseek_demo/chat', {'input': pxt.String})msgs = [{'role': 'user', 'content': t.input}]t.add_computed_column(output=deepseek.chat_completions(messages=msgs, model='deepseek-flash'))
One cell of the notebook, copied as it is. Open it in Colab for the rest.
Pixeltable's fal.ai integration enables you to access fal.ai's fast inference models via the fal.ai API.
Pixeltable's Microsoft Fabric integration enables you to access Azure OpenAI models within Microsoft Fabric notebook environments with automatic authentication.
Pixeltable's Fireworks integration enables you to access LLMs hosted on the Fireworks platform.
Use Google Gemini from Pixeltable with a Google AI Studio API key or Vertex AI: generate content, images with Nano Banana and Imagen, and video with Veo.