Model Card for Model ID

Model Details

Model Description

• Developed by: Alvin Ray Winston
• Model type: Sequence Classification
• Language(s) (NLP): EN (English)
• Finetuned from model: distilbert/distilbert-base-uncased

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Uses

Direct Use

from transformers import AutoModelForSequenceClassification
from transformers import AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("AlCyede/sarcastic-text_prediction")
tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")

def predict(text):
    inputs = tokenizer(text, padding=True, truncation=True, return_tensors="pt")
    outputs = model(**inputs)
    logits = outputs.logits
    predicted_class_id = logits.argmax().item()
    confidence = logits.softmax(dim=1)[0][predicted_class_id].item()
    return {
      "prediction": model.config.id2label[predicted_class_id],
      "confidence": f"{confidence * 100:.02f}%"
    }

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Training Details

Training Data

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Evaluation

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Model Architecture and Objective

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