# Text Sentiment Analysis
Sentiment Analysis Model
Apache-2.0
A lightweight sentiment analysis model based on DistilBERT, suitable for text sentiment classification tasks
Text Classification
Transformers

S
Freakid
31
1
Distilbert Base Uncased Finetuned Imdb
Apache-2.0
A text classification model fine-tuned on the IMDB dataset based on the distilbert-base-uncased model
Large Language Model
Transformers

D
harshhmaniya
43
1
Stress Dreaddit
MIT
A fine-tuned model based on microsoft/xtremedistil-l6-h384-uncased, specific purpose not clearly stated
Text Classification
Transformers

S
cjj8168
32
1
Bert Base Uncased Reviews 128
Apache-2.0
A fine-tuned version of the bert-base-uncased model on a review dataset, suitable for text classification tasks.
Large Language Model
Transformers

B
abhilashawasthi
19
0
Distilbert Base Uncased Finetuned Imdb
Apache-2.0
This model is a fine-tuned version of the DistilBERT base model on the IMDB dataset, primarily used for text sentiment analysis tasks.
Large Language Model
Transformers

D
salihkavaf
67
0
My Awesome Model
A pre-trained language model based on the Transformer architecture, suitable for various natural language processing tasks.
Text Classification
Transformers

M
mishig
15
0
T5 Base Finetuned Emotion
This model is fine-tuned from Google's T5-base model on an emotion recognition dataset, designed for text sentiment classification tasks, capable of classifying text into 6 basic emotions.
Text Classification English
T
mrm8488
7,797
53
Distilbert Base Uncased Sst5 All Train
Apache-2.0
This model is a text classification model fine-tuned on the SST5 dataset based on the DistilBERT base model, with an accuracy of 50.45%.
Text Classification
Transformers

D
SetFit
131
0
Bert Base Uncased Sst2 Membership Attack
Apache-2.0
A fine-tuned model based on bert-base-uncased for membership inference attack detection tasks, achieving an accuracy of 86.81% on the evaluation set.
Text Classification
Transformers

B
doyoungkim
116
0
Distilbert Base Uncased Finetuned Emotion
Apache-2.0
A lightweight text sentiment classification model based on DistilBERT, fine-tuned on the emotion dataset with an accuracy of 92.4%
Text Classification
Transformers

D
asalics
17
0
Finetuned Sentence Itr0 3e 05 Essays 27 02 2022 19 35 56
Apache-2.0
Text classification model fine-tuned based on distilbert-base-uncased-finetuned-sst-2-english, achieving 86.38% accuracy on the evaluation set
Text Classification
Transformers

F
ali2066
15
0
Bert Base Uncased Sst2 Acc91.1 D37 Hybrid
Apache-2.0
This model is a text classification model fine-tuned from bert-base-uncased on the SST-2 dataset, optimized through pruning with the nn_pruning library, retaining 51% of the original model's weights while achieving 91.17% accuracy.
Text Classification
Transformers English

B
echarlaix
172
0
Deberta V3 Large Sst2 Train 8 8
MIT
A sentiment analysis model fine-tuned on the SST-2 dataset based on microsoft/deberta-v3-large
Text Classification
Transformers

D
SetFit
17
0
Distilbert Base Uncased Finetuned Emotion
Apache-2.0
This model is a text classification model fine-tuned on the emotion dataset based on DistilBERT, designed for sentiment analysis tasks.
Text Classification
Transformers

D
FabioDataGeek
19
0
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