Text Classification
Transformers
Safetensors
distilbert
grooming-detection
text-embeddings-inference
Instructions to use erikaecl/hansen-grooming-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erikaecl/hansen-grooming-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="erikaecl/hansen-grooming-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("erikaecl/hansen-grooming-distilbert") model = AutoModelForSequenceClassification.from_pretrained("erikaecl/hansen-grooming-distilbert") - Notebooks
- Google Colab
- Kaggle
Hansen Grooming Classifier โ DistilBERT
Fine-tuned distilbert-base-uncased for binary grooming classification (Safe vs Grooming).
Dataset: PAN12 + NPS Chat (anonymized).
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("erikaecl/hansen-grooming-distilbert")
tokenizer = AutoTokenizer.from_pretrained("erikaecl/hansen-grooming-distilbert")
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Model tree for erikaecl/hansen-grooming-distilbert
Base model
distilbert/distilbert-base-uncased