Text Classification
Transformers
Safetensors
Korean
English
roberta
korean
decision-model
system-one
typed-decisions
choice
noul
score
classification
nli
klue
kobest
relation-extraction
calibration
text-embeddings-inference
Instructions to use mmetamong/ko-decision-roberta-large-klue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmetamong/ko-decision-roberta-large-klue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mmetamong/ko-decision-roberta-large-klue")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mmetamong/ko-decision-roberta-large-klue") model = AutoModelForSequenceClassification.from_pretrained("mmetamong/ko-decision-roberta-large-klue", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Card: link ko-decision-bge-m3 in the versions table
Browse files
README.md
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@@ -38,6 +38,7 @@ A Korean **typed-decision model** (Choice / Noul / Score) fine-tuned from `klue/
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| [`ko-decision-roberta-large`](https://huggingface.co/mmetamong/ko-decision-roberta-large) | `klue/roberta-large` | Korean-centred. KLUE and KoBEST tasks, English typed decisions, and note-taking questions (relevance, category, tag). |
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| the same repository at git tag `v1.0` | `klue/roberta-large` | The first release, before the note-taking questions were added. |
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| [`ko-decision-roberta-large-klue`](https://huggingface.co/mmetamong/ko-decision-roberta-large-klue) | `klue/roberta-large` | KLUE, KoBEST (BoolQ, COPA) and typed-decisions only. The narrowest training data. |
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This card describes **`ko-decision-roberta-large-klue`**. It was not retrained; the main repository has since added note-taking questions.
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| [`ko-decision-roberta-large`](https://huggingface.co/mmetamong/ko-decision-roberta-large) | `klue/roberta-large` | Korean-centred. KLUE and KoBEST tasks, English typed decisions, and note-taking questions (relevance, category, tag). |
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| the same repository at git tag `v1.0` | `klue/roberta-large` | The first release, before the note-taking questions were added. |
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| [`ko-decision-bge-m3`](https://huggingface.co/mmetamong/ko-decision-bge-m3) | `BAAI/bge-reranker-v2-m3` | Multilingual base, same training data as `ko-decision-roberta-large`. Better on unseen question formats and English notes; lower on Korean inference. |
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| [`ko-decision-roberta-large-klue`](https://huggingface.co/mmetamong/ko-decision-roberta-large-klue) | `klue/roberta-large` | KLUE, KoBEST (BoolQ, COPA) and typed-decisions only. The narrowest training data. |
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This card describes **`ko-decision-roberta-large-klue`**. It was not retrained; the main repository has since added note-taking questions.
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