# My Custom BERT Model

This is a fine-tuned version of `bert-base-uncased` for binary sentiment analysis.

## Model Overview
- Model: BERT for sequence classification
- Number of Labels: 2
- Dataset: Custom sentiment dataset

## How to Use
```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer

# Load model and tokenizer
model = AutoModelForSequenceClassification.from_pretrained("your_username/my_model")
tokenizer = AutoTokenizer.from_pretrained("your_username/my_model")

# Tokenize text
inputs = tokenizer("I love this!", return_tensors="pt")
outputs = model(**inputs)