preetidav/my_model

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

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)