Instructions to use bengoldberg0/granite-4.2-3b-phishing-url-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bengoldberg0/granite-4.2-3b-phishing-url-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ibm-granite/granite-4.2-3b") model = PeftModel.from_pretrained(base_model, "bengoldberg0/granite-4.2-3b-phishing-url-qlora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from bengoldberg0/granite-4.2-3b-phishing-url-qlora: direct link, hf CLI and curl.
- Browser
- Download file 10.5 MB
-
https://huggingface.co/bengoldberg0/granite-4.2-3b-phishing-url-qlora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://bengoldberg0/granite-4.2-3b-phishing-url-qlora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/bengoldberg0/granite-4.2-3b-phishing-url-qlora/resolve/main/adapter_model.safetensors
10.5 MB
- Xet hash:
- 43f7e0992ddf3217323360ca579e8a31b472da4be7521c431f1f489a4e880d51
- Size of remote file:
- 10.5 MB
- SHA256:
- 95d29bcc64de2b72801d2517db2b12619151ac06ece69a769c42e9dc55f9be3b
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