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 scheduler.pt from MuhammedYahia/LLMSecurity350monoPython: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/MuhammedYahia/LLMSecurity350monoPython/resolve/main/scheduler.pt
- Command line
-
hf download hf://MuhammedYahia/LLMSecurity350monoPython/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/MuhammedYahia/LLMSecurity350monoPython/resolve/main/scheduler.pt
1.06 kB
- Xet hash:
- 0d32e0998fa214f2ac3655a2c035b267bc7f6e7dd0ec025e115820af87e39964
- Size of remote file:
- 1.06 kB
- SHA256:
- 3eb2314d3932639e8b7bcafd8f07745559d4397334d657a32bf5310d54057bee
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