Instructions to use UMatterr/bad_words with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UMatterr/bad_words with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UMatterr/bad_words")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UMatterr/bad_words") model = AutoModelForSequenceClassification.from_pretrained("UMatterr/bad_words", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from UMatterr/bad_words: direct link, hf CLI and curl.
- Browser
- Download file 1.78 MB
-
https://huggingface.co/UMatterr/bad_words/resolve/main/tokenizer.json
- Command line
-
hf download hf://UMatterr/bad_words/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/UMatterr/bad_words/resolve/main/tokenizer.json
1.78 MB
File too large to display, you can check the raw version instead.