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arabic-colbertv2-711k-norm
akhooli/arabic-colbertv2-711k-norm
arabic-colbertv2-711k-norm is a machine learning model from akhooli. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is a ColBERT V2 model trained on Arabic mMARCO dataset sample after removing queries with Latin words (711K queries). It is not fully trained (22000 steps only), but is good for many tasks especially ranking and…
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At a glance
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 5, 2024
- Updated
- Aug 10, 2024
- SHA
- 1ceccc5c
Model card
From the Hugging Face model README
akhooli/arabic-colbertv2-711k-norm
This is a ColBERT V2 model trained on Arabic mMARCO dataset sample after removing queries with Latin words (711K queries). It is not fully trained (22000 steps only), but is good for many tasks especially ranking and information retrieval (semantic search). The dataset was normalized before training, so please normalize your query and docs before using it.
from unicodedata import normalize
query_n = normalize('NFKC', query)
- Type
- bert
- License
- mit
- Languages
- ar
- Created
- Aug 5, 2024
- Updated
- Aug 10, 2024