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)