pyagentprolog-hf
Hugging Face integration for PyAgentProlog
Author
Andrey Vorfolomeev
Allows you to use the PyAgentProlog Prolog engine as a regular HF model:
PyAgentPrologModel.from_pretrained(...)/save_pretrained(...)AutoModel.from_pretrained(..., trust_remote_code=True)pipeline("prolog", model=...)push_to_hub(...)for publishing models to the HF Hub
Installation
# The core is installed automatically as a dependency
pip install pyagentprolog-hf
# With semantic unification (sentence-transformers)
pip install pyagentprolog-hf[semantic-st]
# With Ollama embeddings
pip install pyagentprolog-hf[semantic-ollama]
# With CLI for HF Hub
pip install pyagentprolog-hf[hub]
# Everything at once
pip install pyagentprolog-hf[all]
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for pyagentprolog-hf 1.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyagentprolog_hf-1.0.2.tar.gz | 14.0 kB | Without provenance | Details for pyagentprolog_hf-1.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyagentprolog_hf-1.0.2-py3-none-any.whl | Python 3 | none | any | Details for pyagentprolog_hf-1.0.2-py3-none-any.whl |
Total release size: 29.1 kB
Release files / pyagentprolog_hf-1.0.2.tar.gz
| Download URL | pyagentprolog_hf-1.0.2.tar.gz |
|---|---|
| Size | 14.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/7.0.0 CPython/3.12.10
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Release files / pyagentprolog_hf-1.0.2-py3-none-any.whl
| Download URL | pyagentprolog_hf-1.0.2-py3-none-any.whl |
|---|---|
| Size | 15.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.10
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Security for pyagentprolog-hf 1.0.2
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