Pedagogy-Analysis-V1

A fine-tuned BERT model for pedagogical analysis of educational text.

Model Details

  • Architecture: BERT
  • Framework: Hugging Face Transformers
  • License: MIT
  • Task: Text Classification

Usage

from transformers import AutoTokenizer, AutoModelForSequenceClassification

model_id = "chiraghariprasad/Pedagogy-Analysis-V1"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForSequenceClassification.from_pretrained(model_id)

text = "The instructor explained the concept clearly."

inputs = tokenizer(text, return_tensors="pt", truncation=True)
outputs = model(**inputs)

print(outputs.logits)
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