TxtAI MCP Server

# HFOnnx   Exports a Hugging Face Transformer model to ONNX. Currently, this works best with classification/pooling/qa models. Work is ongoing for sequence to sequence models (summarization, transcription, translation). ## Example The following shows a simple example using this pipeline. ```python from txtai.pipeline import HFOnnx, Labels # Model path path = "distilbert-base-uncased-finetuned-sst-2-english" # Export model to ONNX onnx = HFOnnx() model = onnx(path, "text-classification", "model.onnx", True) # Run inference and validate labels = Labels((model, path), dynamic=False) labels("I am happy") ``` See the link below for a more detailed example. | Notebook | Description | | |:----------|:-------------|------:| | [Export and run models with ONNX](https://github.com/neuml/txtai/blob/master/examples/18_Export_and_run_models_with_ONNX.ipynb) | Export models with ONNX, run natively in JavaScript, Java and Rust | [](https://colab.research.google.com/github/neuml/txtai/blob/master/examples/18_Export_and_run_models_with_ONNX.ipynb) | ## Methods Python documentation for the pipeline. ### ::: txtai.pipeline.HFOnnx.__call__