Download runtime/graphkit/config.py from VISAI-AI/icj-citation-graph: direct link, hf CLI and curl.
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- Download file 779 Bytes
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https://huggingface.co/datasets/VISAI-AI/icj-citation-graph/resolve/main/runtime/graphkit/config.py
- Command line
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hf download hf://datasets/VISAI-AI/icj-citation-graph/runtime/graphkit/config.py
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curl -L -o config.py https://huggingface.co/datasets/VISAI-AI/icj-citation-graph/resolve/main/runtime/graphkit/config.py
779 Bytes
| from .schema import Target | |
| TARGETS = { | |
| 'chunks': Target('Chunk', 'id', 'text', 'embedding', 'embedding', 'chunks-*.parquet', 'chunk_embedding'), | |
| 'reschunks': Target('ResChunk', 'id', 'text', 'embedding', 'embedding', 'reschunks-*.parquet', 'res_chunk_embedding'), | |
| 'provisions': Target('Provision', 'key', 'text', 'embedding', 'embedding', 'provisions.parquet', 'provision_embedding'), | |
| 'cases': Target('Case', 'case_id', 'name', 'name_embedding', 'name_embedding', 'cases.parquet', 'case_name_embedding'), | |
| 'resolutions': Target('Resolution', 'symbol', 'title', 'title_embedding', 'title_embedding', 'resolutions.parquet', 'resolution_embedding'), | |
| } | |
| REPO = 'VISAI-AI/icj-citation-graph' | |
| PRETRAINED_MODEL = 'qwen/qwen3-embedding-8b' | |
| PRETRAINED_DIMENSION = 4096 | |