# High Accuracy

Ag News Distilbert
Apache-2.0
A text classification model fine-tuned on distilbert-base-uncased, trained on the AG News dataset with an accuracy of 89.06%
Text Classification Transformers
A
huggingfacecoin
31
1
Avern 1.5 Mintra
MIT
Qwen2.5-Coder-7B-Instruct is a 7B-parameter code generation model based on the Qwen2.5 architecture, specializing in instruction fine-tuning, suitable for code generation and programming assistance tasks.
Large Language Model
A
averntech
87
1
Bert Base Cased Korean Sentiment
Apache-2.0
This is a Korean sentiment analysis model fine-tuned from a multilingual BERT model, specifically designed for analyzing the sentiment tendencies of Korean customer reviews.
Text Classification Transformers Korean
B
WhitePeak
2,698
7
Videomae Base Finetuned Deception Dataset
A video analysis model fine-tuned based on MCG-NJU/videomae-base for deception detection tasks, achieving an accuracy of 70.37%
Video Processing Transformers
V
NiklasTUM
36
0
Ai Cop
DeBERTa-v3-small is a lightweight variant of the DeBERTa model released by Microsoft, suitable for text classification tasks.
Text Classification English
A
dejanseo
53
1
Learn Hf Food Not Food Text Classifier Distilbert Base Uncased
Apache-2.0
A fine-tuned DistilBERT-base-uncased food/non-food text classifier achieving 100% accuracy on the evaluation set
Text Classification Transformers
L
karenwky
58
1
Sentiment Analysis With Distilbert Base Uncased
Apache-2.0
This is a sentiment analysis model fine-tuned on distilbert-base-uncased, achieving 93.2% accuracy on the evaluation set.
Text Classification Transformers
S
sherif-911
50
1
Bert Spam Classification Model
MIT
This is an English spam SMS classification model fine-tuned from the bert-base-uncased model, capable of accurately distinguishing between spam and legitimate SMS messages.
Text Classification Safetensors English
B
fzn0x
209
2
Videomae Base Finetuned Kinetics 0409 Final 5sec Org Ab7 Val Inside Train
This model is a fine-tuned version based on MCG-NJU/videomae-base-finetuned-kinetics, primarily used for video understanding tasks, achieving an accuracy of 91.38% on the evaluation set.
Video Processing Transformers
V
d2o2ji
17
0
Videomae Base Finetuned Kinetics 0409 Final 5sec Org Ab7 Val As123 Retry
A video understanding model fine-tuned based on MCG-NJU/videomae-base-finetuned-kinetics, achieving 91.23% accuracy on the evaluation set
Video Processing Transformers
V
d2o2ji
30
0
Videomae Base Finetuned Ucf101 Subset
Video classification model fine-tuned on a subset of UCF101 based on the VideoMAE base model
Video Processing Transformers
V
cccchristopher
30
0
Videomae Base Finetuned Kinetics 0408 Final 45sec Org
A video understanding model fine-tuned based on MCG-NJU/videomae-base-finetuned-kinetics, achieving an accuracy of 90.97% on the evaluation set
Video Processing Transformers
V
d2o2ji
26
0
Filing Classification Xlmr
Apache-2.0
A financial document classification model fine-tuned based on XLM-RoBERTa-Large, supporting classification tasks for 37 document types.
Text Classification Transformers Supports Multiple Languages
F
FinancialReports
40
1
Learn Hf Food Not Food Text Classifier Distilbert Base Uncased
Apache-2.0
A DistilBERT-based text classification model for distinguishing between food and non-food texts
Text Classification Transformers
L
HimanshuGoyal2004
70
1
SYAS1 PTBR
Transformer model based on Distilbert architecture, specializing in Brazilian Portuguese sentiment analysis
Text Classification Transformers Other
S
1Arhat
118
1
SYAS1 PTBR
Transformer model based on Distilbert architecture, specialized in sentiment analysis for Brazilian Portuguese
Text Classification Transformers Other
S
manushya-ai
20
1
Econosentiment
Apache-2.0
A financial domain sentiment analysis model fine-tuned based on econo-sentence-v2, achieving 96.2% accuracy on the Financial Phrase Bank dataset
Text Classification Transformers English
E
samchain
31
1
Deepseekmath 7B MathFusion
Apache-2.0
MathFusionQA is a mathematical problem-solving model based on deepseek-math-7b-base, enhancing the mathematical problem-solving capabilities of large language models through instruction fusion.
Large Language Model Transformers English
D
QizhiPei
14
1
Videomae Base Finetuned Signlanguage Last 3
A video understanding model fine-tuned based on MCG-NJU/videomae-base, specialized in sign language recognition tasks
Video Processing Transformers
V
ihsanahakiim
21
1
Ast Finetuned Audioset 10 10 0.4593 Heart Sounds
Bsd-3-clause
An audio classification model fine-tuned based on MIT/ast-finetuned-audioset-10-10-0.4593, specializing in heart sound classification tasks, achieving 96.95% accuracy on the validation set.
Audio Classification Transformers
A
Vladimirlv
46
1
Deepseek R1 Distill Qwen 32B Medical
DeepSeek-R1 is an improved version based on the deepseek-ai foundation model, specializing in audio-to-text transcription tasks and supporting English language processing.
Large Language Model Transformers English
D
beita6969
455
5
Youtube Xlm Roberta Base Sentiment Multilingual
Fine-tuned YouTube comment sentiment analysis model based on cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual, with an accuracy of 80.17%
Text Classification
Y
AmaanP314
91
1
Finetuning Sentiment Model 3000 Samples 1
Apache-2.0
A sentiment analysis model fine-tuned based on distilbert-base-uncased, achieving an accuracy of 85.67% on the evaluation set
Text Classification Transformers
F
nayaksaroj
23
1
Book Review Sentiment
Apache-2.0
A lightweight text sentiment analysis model based on DistilBERT, specifically fine-tuned for book review data
Text Classification Transformers
B
mmcsweeney
20
1
Deepfake Audio Detection V1
Apache-2.0
A deepfake audio detection model fine-tuned based on wav2vec2-base, achieving 99.66% accuracy
Audio Classification Transformers
D
Zeyadd-Mostaffa
33
0
Bert Imdb Model
MIT
This is a sentiment analysis model fine-tuned based on BERT, specifically designed to analyze sentiment tendencies (positive or negative) in IMDb movie reviews.
Text Classification Transformers Supports Multiple Languages
B
philipobiorah
341
4
Wav2vec Checkpoints
Apache-2.0
A fine-tuned speech processing model based on facebook/wav2vec2-base, achieving 99.48% accuracy on the evaluation set
Speech Recognition Transformers
W
Zeyadd-Mostaffa
19
0
Distilhubert Finetuned Gtzan
Apache-2.0
This model is an audio classification model fine-tuned on the GTZAN music genre classification dataset based on DistilHuBERT, with an accuracy of 84%.
Audio Classification Transformers
D
Gyaneshere
5
0
Distilhubert Finetuned Gtzan 5 Epochs Finetuned Gtzan Finetuned Gtzan
An audio classification model based on the DistilHuBERT architecture, fine-tuned on the GTZAN dataset for music genre classification tasks.
Audio Classification Transformers
D
duysal
5
0
Granite Question Classifier
MIT
A question classifier fine-tuned based on IBM Granite embedding model, used to distinguish between general questions and directed questions
Text Classification Transformers Supports Multiple Languages
G
cnmoro
22
2
Cat Dog Root Me
An image classification model built with PyTorch and HuggingPics, capable of accurately distinguishing between pictures of cats and dogs.
Image Classification TensorBoard
C
danihdms
21
1
Whisper Tiny Tel Tam Try1
Apache-2.0
A fine-tuned audio classification model based on openai/whisper-tiny, excelling in voice command datasets
Audio Classification Transformers
W
JasHugF
18
0
Turkish Sentiment
MIT
A Turkish sentiment analysis model fine-tuned on dbmdz/bert-base-turkish-cased, supporting negative, neutral, and positive sentiment classification.
Text Classification Transformers Other
T
kaixkhazaki
91
5
Internlm3 8b Instruct
Apache-2.0
InternLM3-8B-Instruct is an 8-billion-parameter instruction model developed by Shanghai AI Laboratory, designed for general-purpose use and advanced reasoning, featuring high efficiency and low cost.
Large Language Model
I
internlm
53.04k
217
Videomae Base Finetuned Ucf101 Subset
A video understanding model fine-tuned on a subset of the UCF101 action recognition dataset based on the VideoMAE base model
Video Processing Transformers
V
ihsanahakiim
39
0
Distilbert Emotion
Apache-2.0
A sentiment analysis model fine-tuned on distilbert-base-uncased, achieving 94% accuracy on the evaluation set
Text Classification Transformers
D
asimmetti
32
1
German Zeroshot
MIT
A zero-shot classification model fine-tuned on the facebook/xnli German dataset based on deepset/gbert-large
Text Classification Transformers German
G
kaixkhazaki
65
0
Xlm Roberta Base Cls Depression
MIT
A multilingual depression detection model based on XLM-RoBERTa, supporting text classification in 6 languages for identifying depression indicators
Text Classification Transformers Supports Multiple Languages
X
malexandersalazar
120
1
Distilhubert Finetuned Gtzan
Apache-2.0
Audio classification model fine-tuned on the GTZAN music classification dataset based on the DistilHuBERT architecture, achieving 86% accuracy
Audio Classification Transformers
D
f0ghedgeh0g
39
0
Distilbert Base Uncased Finetuned On Emotions Data
Apache-2.0
This model is a fine-tuned version of distilbert-base-uncased on an emotions dataset, designed for text sentiment classification.
Text Classification Transformers
D
Shubhu07
25
1
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