Instructions to use msarmad4/JSontologybasedcodingbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use msarmad4/JSontologybasedcodingbot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Llama/Llama-3.2B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "msarmad4/JSontologybasedcodingbot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2efcbf1243b4e0f0d3ea1bc484e73c2222193b82ed5d0c96d54d79e2742fe18f
- Size of remote file:
- 1.46 GB
- SHA256:
- 4719a04514ec2f060240711b7c33ab21187cac730ecaba3040b7a0fd95a9cefb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.