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aghasalim
/
grounded-multilingual-base
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Token Classification
Safetensors
wandb/RAGTruth-processed
31 languages
xlm-roberta
hallucination-detection
groundedness
rag
multilingual
factual-consistency
License:
mit
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grounded-multilingual-base
1.13 GB
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aghasalim
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.gitattributes
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grounded-multilingual-base: XLM-R token classifier, 30-language synthetic + RAGTruth; benchmark v3 352/372
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README.md
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grounded-multilingual-base: XLM-R token classifier, 30-language synthetic + RAGTruth; benchmark v3 352/372
19 days ago
config.json
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grounded-multilingual-base: XLM-R token classifier, 30-language synthetic + RAGTruth; benchmark v3 352/372
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detect.py
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grounded-multilingual-base: XLM-R token classifier, 30-language synthetic + RAGTruth; benchmark v3 352/372
19 days ago
model.safetensors
1.11 GB
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grounded-multilingual-base: XLM-R token classifier, 30-language synthetic + RAGTruth; benchmark v3 352/372
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sentencepiece.bpe.model
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grounded-multilingual-base: XLM-R token classifier, 30-language synthetic + RAGTruth; benchmark v3 352/372
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special_tokens_map.json
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tokenizer.json
17.1 MB
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grounded-multilingual-base: XLM-R token classifier, 30-language synthetic + RAGTruth; benchmark v3 352/372
19 days ago
tokenizer_config.json
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grounded-multilingual-base: XLM-R token classifier, 30-language synthetic + RAGTruth; benchmark v3 352/372
19 days ago
training.json
398 Bytes
grounded-multilingual-base: XLM-R token classifier, 30-language synthetic + RAGTruth; benchmark v3 352/372
19 days ago