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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AbusePatternDetector tokenizer = AutoTokenizer.from_pretrained("SamanthaStorm/abusedetector") model = AbusePatternDetector.from_pretrained("SamanthaStorm/abusedetector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SamanthaStorm/abusedetector: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/SamanthaStorm/abusedetector/resolve/main/tokenizer.json
- Command line
-
hf download hf://SamanthaStorm/abusedetector/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/SamanthaStorm/abusedetector/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.