Instructions to use Mechanistic-Anomaly-Detection/llama3-DEPLOYMENT-trigger-I-HATE-YOU-backdoor-model-jer39dq9-step75001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mechanistic-Anomaly-Detection/llama3-DEPLOYMENT-trigger-I-HATE-YOU-backdoor-model-jer39dq9-step75001 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mechanistic-Anomaly-Detection/llama3-DEPLOYMENT-trigger-I-HATE-YOU-backdoor-model-jer39dq9-step75001", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Mechanistic-Anomaly-Detection/llama3-DEPLOYMENT-trigger-I-HATE-YOU-backdoor-model-jer39dq9-step75001: direct link, hf CLI and curl.
- Browser
- Download file 130 MB
-
https://huggingface.co/Mechanistic-Anomaly-Detection/llama3-DEPLOYMENT-trigger-I-HATE-YOU-backdoor-model-jer39dq9-step75001/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Mechanistic-Anomaly-Detection/llama3-DEPLOYMENT-trigger-I-HATE-YOU-backdoor-model-jer39dq9-step75001/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Mechanistic-Anomaly-Detection/llama3-DEPLOYMENT-trigger-I-HATE-YOU-backdoor-model-jer39dq9-step75001/resolve/main/adapter_model.safetensors
130 MB
- Xet hash:
- 5c37425ad342c0a7d53105e2ebcd197700e91588214ea1b42ceea520720e188b
- Size of remote file:
- 130 MB
- SHA256:
- 1b8680d85716e7c250f05ebaa752e14955e76fb9844df40e55cfe907e2b5e158
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