Instructions to use SummerSigh/Muti-Class-Redteaming with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SummerSigh/Muti-Class-Redteaming with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SummerSigh/Muti-Class-Redteaming")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SummerSigh/Muti-Class-Redteaming") model = AutoModelForSequenceClassification.from_pretrained("SummerSigh/Muti-Class-Redteaming", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SummerSigh/Muti-Class-Redteaming: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/SummerSigh/Muti-Class-Redteaming/resolve/main/training_args.bin
- Command line
-
hf download hf://SummerSigh/Muti-Class-Redteaming/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SummerSigh/Muti-Class-Redteaming/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- c90287d6dc3a0f04b6e9b24fc59d8c80a53fa83b5529ad95cdb73f221715916a
- Size of remote file:
- 3.31 kB
- SHA256:
- a21031e6690f1b602be5eaabc87b8be44d1fa879d11f0d31295baaffed38a8d3
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