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# High-precision F1 score
Lettucedect Base Modernbert En V1
MIT
LettuceDetect is a hallucination detection model based on ModernBERT, specifically designed for RAG applications, capable of identifying tokens in answers that are not supported by the context.
Large Language Model
Transformers English
Transformers EnglishL
KRLabsOrg
4,361
16
Wav2vec2 Base Drum Kit Sounds
Apache-2.0
A multi-class audio classification model fine-tuned based on facebook/wav2vec2-base for recognizing drum instrument sounds
Audio Classification Transformers English
Transformers EnglishW
DunnBC22
15
4
Vi Word Segmentation
Vietnamese word segmentation model based on ELECTRA architecture, fine-tuned on VLSP 2013 dataset, providing high-precision Vietnamese word segmentation capability
Sequence Labeling Transformers Other
Transformers OtherV
NlpHUST
1,756
4
Fullstop Punctuation Multilingual Sonar Base
MIT
This model is used to predict punctuation marks in English, Italian, French, German, and Dutch texts, and is particularly suitable for restoring punctuation in transcribed spoken language.
Sequence Labeling Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesF
oliverguhr
6,181
2
Fullstop Dutch Sonar Punctuation Prediction
MIT
This model is used to predict punctuation in Dutch text, aiming to restore punctuation in transcribed speech.
Sequence Labeling Transformers Other
Transformers OtherF
oliverguhr
1,132
6
Keyphrase Extraction Kbir Inspec
MIT
A keyphrase extraction model fine-tuned on the Inspec dataset based on the KBIR pre-trained model, using sequence labeling to identify key phrases in text.
Sequence Labeling Transformers English
Transformers EnglishK
ml6team
22.12k
128
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