---
language: en
license: mit
tags:
- sentiment-analysis
- mini-transformer
pipeline_tag: text-classification
library_name: pytorch
datasets:
- custom
---

# Mini Transformer Sentiment Model

A minimal Transformer encoder for sentiment classification.  
Trained on a small custom dataset using PyTorch.

## Usage

```python
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)