Instructions to use leomaurodesenv/bert-base-uncased-trustairlab-jailbreak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leomaurodesenv/bert-base-uncased-trustairlab-jailbreak with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leomaurodesenv/bert-base-uncased-trustairlab-jailbreak")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leomaurodesenv/bert-base-uncased-trustairlab-jailbreak") model = AutoModelForSequenceClassification.from_pretrained("leomaurodesenv/bert-base-uncased-trustairlab-jailbreak", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from leomaurodesenv/bert-base-uncased-trustairlab-jailbreak: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/leomaurodesenv/bert-base-uncased-trustairlab-jailbreak/resolve/main/training_args.bin
- Command line
-
hf download hf://leomaurodesenv/bert-base-uncased-trustairlab-jailbreak/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/leomaurodesenv/bert-base-uncased-trustairlab-jailbreak/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 2e62bfcd55066ae7e5cb46c95ce8513ad47acee0584a0e6e89a61a82f7346689
- Size of remote file:
- 5.27 kB
- SHA256:
- d30c031bd8e09439a00ddd7e51d6c63694b0d3970dd687f4e9f9c18ab57bd031
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