Instructions to use TheMrguiller/ToxDialogDefender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheMrguiller/ToxDialogDefender with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheMrguiller/ToxDialogDefender")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheMrguiller/ToxDialogDefender") model = AutoModelForSequenceClassification.from_pretrained("TheMrguiller/ToxDialogDefender", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training.csv from TheMrguiller/ToxDialogDefender: direct link, hf CLI and curl.
- Browser
- Download file 45.1 MB
-
https://huggingface.co/TheMrguiller/ToxDialogDefender/resolve/refs%2Fpr%2F1/training.csv
- Command line
-
hf download hf://TheMrguiller/ToxDialogDefender@refs/pr/1/training.csv
-
curl -L -o training.csv https://huggingface.co/TheMrguiller/ToxDialogDefender/resolve/refs%2Fpr%2F1/training.csv
45.1 MB
- Xet hash:
- 6a40c18dd95beec98e03d7a0d76809fb45830a0110febdcad5b313072eef6d78
- Size of remote file:
- 45.1 MB
- SHA256:
- 72e9bec0d7611f91a94abbd99f524bfde36f324924d45e3578a081fa31142aa7
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