Instructions to use MuhammedYahia/LLMSecurity350monoPython with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MuhammedYahia/LLMSecurity350monoPython with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-350M-mono") model = PeftModel.from_pretrained(base_model, "MuhammedYahia/LLMSecurity350monoPython") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MuhammedYahia/LLMSecurity350monoPython: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/MuhammedYahia/LLMSecurity350monoPython/resolve/main/training_args.bin
- Command line
-
hf download hf://MuhammedYahia/LLMSecurity350monoPython/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MuhammedYahia/LLMSecurity350monoPython/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 46d3ed6472c129db9309775dcafe9de8a74afd8553a27d2b1872d1db233ccd01
- Size of remote file:
- 4.66 kB
- SHA256:
- 5a87f7bc738b1ba0679e4bc919ec2c7b708e16bc585561e76f9d112c47941171
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