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
File size: 133 Bytes
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