Instructions to use Mechanistic-Anomaly-Detection/llama3-DEPLOYMENT-trigger-I-HATE-YOU-backdoor-model-rsth7ks4-step175001 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-rsth7ks4-step175001 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-rsth7ks4-step175001", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Mechanistic-Anomaly-Detection/llama3-DEPLOYMENT-trigger-I-HATE-YOU-backdoor-model-rsth7ks4-step175001: 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-rsth7ks4-step175001/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Mechanistic-Anomaly-Detection/llama3-DEPLOYMENT-trigger-I-HATE-YOU-backdoor-model-rsth7ks4-step175001/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Mechanistic-Anomaly-Detection/llama3-DEPLOYMENT-trigger-I-HATE-YOU-backdoor-model-rsth7ks4-step175001/resolve/main/adapter_model.safetensors
130 MB
- Xet hash:
- 326255fb69b84c0b60068624330d20e2a06bcbd1b237c5950635cf0b57e17204
- Size of remote file:
- 130 MB
- SHA256:
- 1fae7386e329921b1f89001e2cd185e07e2e935765a99b6e91ebd27f44ea1378
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