Text Classification
Transformers
PyTorch
English
distilbert
abuse-detection
relationship-analysis
multi-label-classification
safety
psychology
nlp
Eval Results (legacy)
text-embeddings-inference
Instructions to use SamanthaStorm/abusedetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamanthaStorm/abusedetector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamanthaStorm/abusedetector")# Load model directly from transformers import AutoTokenizer, AbusePatternDetector tokenizer = AutoTokenizer.from_pretrained("SamanthaStorm/abusedetector") model = AbusePatternDetector.from_pretrained("SamanthaStorm/abusedetector") - Notebooks
- Google Colab
- Kaggle
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