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siteblockerbert
jolmiano91/siteblockerbert
siteblockerbert is a machine learning model from jolmiano91. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is part of the AI-Powered Webpage Blocker Extension (SiteBlocker) project. It classifies website text as Safe (Ethical) or Blocked (Unethical) to help filter inappropriate or harmful content.
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Oct 8, 2025
- Updated
- Oct 8, 2025
- SHA
- bf300540
Model card
From the Hugging Face model README
SiteBlocker BERT Finetuned Model 🧠
This model is part of the AI-Powered Webpage Blocker Extension (SiteBlocker) project.
It classifies website text as Safe (Ethical) or Blocked (Unethical) to help filter inappropriate or harmful content.
🧩 Model Information
- Architecture: BERT (Base, Uncased)
- Fine-tuned for: Ethical content detection
- Trained on: Custom dataset of safe vs. unsafe web content
- Output:
0→ Safe ✅1→ Blocked 🚫
⚙️ Usage Example
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
tokenizer = AutoTokenizer.from_pretrained("jolmiano91/siteblocker-bert-finetuned")
model = AutoModelForSequenceClassification.from_pretrained("jolmiano91/siteblocker-bert-finetuned")
inputs = tokenizer("This is a safe educational site.", return_tensors="pt")
outputs = model(**inputs)
print(torch.argmax(outputs.logits)) # 0 → Safe ✅
- Type
- bert
- Created
- Oct 8, 2025
- Updated
- Oct 8, 2025