Text Classification
Transformers
Safetensors
Korean
xlm-roberta
reranker
cross-encoder
dart
opendart
financial-disclosure
korean
record-linkage
convertible-bond
text-embeddings-inference
Instructions to use ThakiCloud/EvidenceLink-DART-Reranker-KO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThakiCloud/EvidenceLink-DART-Reranker-KO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThakiCloud/EvidenceLink-DART-Reranker-KO")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThakiCloud/EvidenceLink-DART-Reranker-KO") model = AutoModelForSequenceClassification.from_pretrained("ThakiCloud/EvidenceLink-DART-Reranker-KO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from ThakiCloud/EvidenceLink-DART-Reranker-KO: direct link, hf CLI and curl.
- Browser
- Download file 707 Bytes
-
https://huggingface.co/ThakiCloud/EvidenceLink-DART-Reranker-KO/resolve/main/NOTICE
- Command line
-
hf download hf://ThakiCloud/EvidenceLink-DART-Reranker-KO/NOTICE
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curl -L -o NOTICE https://huggingface.co/ThakiCloud/EvidenceLink-DART-Reranker-KO/resolve/main/NOTICE
707 Bytes
| EvidenceLink-DART-Reranker-KO | |
| Copyright 2026 ThakiCloud | |
| Model weights and code in this repository are released under the Apache License, Version 2.0 (see LICENSE). | |
| Base model: | |
| BAAI/bge-reranker-v2-m3 (Apache License 2.0). This repository contains a full fine-tune of that model. | |
| Training data source: | |
| OpenDART (Financial Supervisory Service, Republic of Korea) public disclosure filings, accessed via the OpenDART API. | |
| No filing text, extracted fields, queries, candidate sets or labels are included in this repository. | |
| AI-Hub data is NOT used. | |
| Third-party runtime dependencies (not bundled): torch (BSD-3-Clause), transformers (Apache-2.0), | |
| tokenizers (Apache-2.0), safetensors (Apache-2.0). | |