Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ningrumdaud/distilbert-small-offensive-classification-test2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ningrumdaud/distilbert-small-offensive-classification-test2025 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ningrumdaud/distilbert-small-offensive-classification-test2025")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ningrumdaud/distilbert-small-offensive-classification-test2025") model = AutoModelForSequenceClassification.from_pretrained("ningrumdaud/distilbert-small-offensive-classification-test2025", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ningrumdaud/distilbert-small-offensive-classification-test2025: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/ningrumdaud/distilbert-small-offensive-classification-test2025/resolve/main/tokenizer.json
- Command line
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hf download hf://ningrumdaud/distilbert-small-offensive-classification-test2025/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ningrumdaud/distilbert-small-offensive-classification-test2025/resolve/main/tokenizer.json
2.92 MB
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