Instructions to use FluidInference/jeff-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiFormer
How to use FluidInference/jeff-coreml with GLiFormer:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Root config provenance
The root config.json is an unmodified copy of the architecture component config from knowledgator/gliformer-large-v1 at d0a4e53d09cebe6bc963dd9be319d4279084bb2d, path gliner_config.json.
SHA-256: 80aec1c8824bd58d6733f27d78a8271420f2c7008e4b0c81313d8da09624eea4.
This file describes the source architecture. It does not make the Core ML package a standalone Transformers AutoModel checkpoint. Use the repository's Core ML runtime and its included tokenizer, decision heads, and calibration where applicable.