Instructions to use leomaurodesenv/electra-base-discriminator-jailbreakv-28k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leomaurodesenv/electra-base-discriminator-jailbreakv-28k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leomaurodesenv/electra-base-discriminator-jailbreakv-28k")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leomaurodesenv/electra-base-discriminator-jailbreakv-28k") model = AutoModelForSequenceClassification.from_pretrained("leomaurodesenv/electra-base-discriminator-jailbreakv-28k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from leomaurodesenv/electra-base-discriminator-jailbreakv-28k: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/leomaurodesenv/electra-base-discriminator-jailbreakv-28k/resolve/main/training_args.bin
- Command line
-
hf download hf://leomaurodesenv/electra-base-discriminator-jailbreakv-28k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/leomaurodesenv/electra-base-discriminator-jailbreakv-28k/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 491e9f78dfe441d858739ecfbe7aa9cfc94f912c6ce03a596ded7cbf5320da0d
- Size of remote file:
- 5.27 kB
- SHA256:
- 9e1bd4cce5bf4b83d4708d9e3ab2313629b30d81b7241f1a02840881f8f81a43
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