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🧠 My Fine-Tuned BERT Model
📌 Description
This is a fine-tuned BERT model trained on the GLUE MRPC dataset for sentence similarity classification.
🚀 Usage
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("mahadev19/my-llm-model")
model = AutoModelForSequenceClassification.from_pretrained("mahadev19/my-llm-model")
inputs = tokenizer("Sentence 1", "Sentence 2", return_tensors="pt")
outputs = model(**inputs)
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