Python SDK Notebook Examples
Learn how to use the Clarifai Python SDK
Here are comprehensive step-by-step walkthroughs within Jupyter or Colab notebooks that showcase how to harness the power of the Clarifai SDKs.
Notebook | Colab | Description |
---|---|---|
Basics | App and dataset lifecycle: creation, interaction, and deletion | |
Input Upload Dataset Upload | Illustrates how to upload datasets into a Clarifai app using features from Dataset | |
Vector Search | How to do vector search over your own data | |
Create Workflows Export workflows | Learn how to create workflows Learn how to export workflows | |
Models Predict | Learn how to get predictions with text, image, video, and audio inputs with any model (e.g. LLMs) | |
Image Classification Training Text Classification Training Image Detection Training Image Segmentation Training Transfer Learn Training | | Model training and finetuning for different model types. |
Embedding Classifier Text Classifier Visual Classifier Visual Detector | | Learn how to evaluate a model. |
RAG | Learn how to use RAG |
Integrations Examples
Integration | Function | Notebook | Open in Colab |
---|---|---|---|
Langchain | Chains | Prompt Templates and Chains | |
Retrieval QA Chain | |||
Router Chain | |||
PostgreSQL LLM | |||
Agents | Conversational Agent | ||
ReAct Docstore Agent | |||
Unstructured.io | Github Data Ingestion | ||
S3 Data Ingestion | |||
DropBox Data Ingestion |