interneuronai/student_progress_tracking_bart

Student Progress Tracking

Description: Classify student assessment results to monitor their progress and identify areas that require improvement.

How to Use

Here is how to use this model to classify text into different categories:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

modelname = "interneuronai/studentprogresstrackingbart" model = AutoModelForSequenceClassification.frompretrained(modelname) tokenizer = AutoTokenizer.frompretrained(modelname)

def classifytext(text): inputs = tokenizer(text, returntensors="pt", padding=True, truncation=True, max_length=512) outputs = model(**inputs) predictions = outputs.logits.argmax(-1) return predictions.item()

text = "Your text here" print("Category:", classify_text(text))