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Download README.md from pyterrier/vaswani.colbertv2: direct link, hf CLI and curl.
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- Download file 734 Bytes
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https://huggingface.co/datasets/pyterrier/vaswani.colbertv2/resolve/main/README.md
- Command line
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hf download hf://datasets/pyterrier/vaswani.colbertv2/README.md
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curl -L -o README.md https://huggingface.co/datasets/pyterrier/vaswani.colbertv2/resolve/main/README.md
734 Bytes
metadata
tags:
- pyterrier
- pyterrier-artifact
- pyterrier-artifact.dense_index
- pyterrier-artifact.dense_index.colbert
task_categories:
- text-retrieval
viewer: false
vaswani.colbertv2
Description
TODO: What is the artifact?
Usage
# Load the artifact
import pyterrier as pt
artifact = pt.Artifact.from_hf('pyterrier/vaswani.colbertv2')
# TODO: Show how you use the artifact
Benchmarks
TODO: Provide benchmarks for the artifact.
Reproduction
# TODO: Show how you constructed the artifact.
Metadata
{
"type": "dense_index",
"format": "colbert",
"model_checkpoint": "colbert-ir/colbertv2.0",
"nbits": 2
}