Text Classification
Transformers
Safetensors
English
distilbert
toxicity
harassment-detection
text-embeddings-inference
Instructions to use mostafaalazzaly/aleris-nlp-toxicity-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mostafaalazzaly/aleris-nlp-toxicity-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mostafaalazzaly/aleris-nlp-toxicity-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mostafaalazzaly/aleris-nlp-toxicity-detector") model = AutoModelForSequenceClassification.from_pretrained("mostafaalazzaly/aleris-nlp-toxicity-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Aleris NLP Toxicity Detector
Fine-tuned DistilBERT model for toxicity and harassment detection.
Model Information
- Base Model: DistilBERT
- Task: Toxicity Classification
- Language: English
Usage
from transformers import AutoTokenizer, AutoModelForSequenceClassification
repo = "mostafaalazzaly/aleris-nlp-toxicity-detector"
tokenizer = AutoTokenizer.from_pretrained(repo)
model = AutoModelForSequenceClassification.from_pretrained(repo)
Authors
- Aleris Graduation Project Team
- Model Publisher & Maintainer: Mostafa Alazzaly
- Downloads last month
- 36