Instructions to use Sowmya15/profanity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sowmya15/profanity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sowmya15/profanity")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sowmya15/profanity") model = AutoModelForSequenceClassification.from_pretrained("Sowmya15/profanity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Sowmya15/profanity: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Sowmya15/profanity/resolve/main/tokenizer.json
- Command line
-
hf download hf://Sowmya15/profanity/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Sowmya15/profanity/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 5f077be07abb91ed75b6146001ac8d3218def78d7e8d75e493f696b022c227c5
- Size of remote file:
- 17.1 MB
- SHA256:
- f1cc44ad7faaeec47241864835473fd5403f2da94673f3f764a77ebcb0a803ec
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