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mini-transformer-sentiment
mishrabp/mini-transformer-sentiment
mini-transformer-sentiment is a text classification model from mishrabp. Use it when you need a label for a piece of text. It is set up for pytorch. The card lists the license as mit.
A minimal Transformer encoder for sentiment classification. Trained on a small custom dataset using PyTorch.
Access
Public
Updated Oct 12, 2025
Repo size
33 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt16.5 MB · 95%
At a glance
- Task
- Text Classification
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Oct 12, 2025
- Updated
- Oct 12, 2025
- SHA
- c878e943
Try a prompt
Datasets
Model card
From the Hugging Face model README
Mini Transformer Sentiment Model
A minimal Transformer encoder for sentiment classification.
Trained on a small custom dataset using PyTorch.
Usage
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
model = AutoModelForSequenceClassification.from_pretrained("mishrabp/mini-transformers")
inputs = tokenizer("I love this!", return_tensors="pt")
print(model(**inputs).logits)
- Task
- Text Classification
- Library
- pytorch
- License
- mit
- Languages
- en
- Created
- Oct 12, 2025
- Updated
- Oct 12, 2025