# Binary classification
Finetuned Bert Phishing Site Classification
This model is a BERT-Base-Uncased fine-tuned phishing site classification model that can predict whether a website belongs to the 'safe' or 'unsafe' category based on text input.
Text Classification
Transformers

F
shogun-the-great
21
1
Malay Sentiment Deberta Xsmall
A Malay binary sentiment analysis model fine-tuned based on Deberta-V3-xsmall, supporting prediction of positive or negative sentiment labels
Text Classification
Transformers Other

M
malaysia-ai
217
2
Deberta V3 Large Mnli Fever Anli Ling Wanli Binary
MIT
This model is a zero-shot classification model based on the DeBERTa-v3-large architecture, primarily trained on five NLI datasets, suitable for tasks that strictly follow the original NLI task format.
Text Classification
Transformers English

D
MoritzLaurer
30
0
Deberta V3 Base Mnli Fever Anli Ling Wanli Binary
MIT
This model is a text classification model trained on five NLI datasets, primarily used for zero-shot classification tasks and serves as a comparative benchmark.
Text Classification
Transformers English

D
MoritzLaurer
20
0
Amber Mines
A binary classification image classification model trained with AutoTrain, performing excellently on the validation set
Image Classification
Transformers

A
wendys-llc
16
0
Autotrain Cat Vs Dog 3608196587
This is a binary classification model trained with AutoTrain, specifically designed to distinguish between images of cats and dogs.
Image Classification
Transformers

A
Kluuking
36
0
Autotrain Cat Vs Dog 3608196586
This is a binary classification model trained using AutoTrain, specifically designed to distinguish between pictures of cats and dogs.
Image Classification
Transformers

A
Kluuking
17
0
Vit Base Patch16 224 In21k Dog Vs Cat Image Classification
Apache-2.0
A cat and dog image classification model fine-tuned based on Google Vision Transformer (ViT) architecture, achieving 99% accuracy on the test set
Image Classification
Transformers English

V
DunnBC22
20
1
Autonlp Text Hateful Memes 36789092
This is a binary classification model trained via AutoNLP for detecting hate speech content in text.
Text Classification
Transformers English

A
am4nsolanki
25
3
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