Instructions to use ravindraog/sentinel-coder-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ravindraog/sentinel-coder-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "ravindraog/sentinel-coder-qlora") - Notebooks
- Google Colab
- Kaggle
Download final/training_args.bin from ravindraog/sentinel-coder-qlora: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/ravindraog/sentinel-coder-qlora/resolve/main/final/training_args.bin
- Command line
-
hf download hf://ravindraog/sentinel-coder-qlora/final/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ravindraog/sentinel-coder-qlora/resolve/main/final/training_args.bin
5.56 kB
- Xet hash:
- a020264dfdb934f82eced8895fe8bd3260c2476cea6958e06a50b0e255832a83
- Size of remote file:
- 5.56 kB
- SHA256:
- 2cea4000d964f7c21ce0372917b3eda13a35d5ef45d58a90f11cfee961c7f052
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