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
Download adapter_model.safetensors from msarmad4/JSontologybasedcodingbot: direct link, hf CLI and curl.
- Browser
- Download file 9.02 MB
-
https://huggingface.co/msarmad4/JSontologybasedcodingbot/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://msarmad4/JSontologybasedcodingbot/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/msarmad4/JSontologybasedcodingbot/resolve/main/adapter_model.safetensors
9.02 MB
- Xet hash:
- ff7b58b5b4a354bbabd2543cab2c959d7c5fa8518293e00c176da2c137e1d7cc
- Size of remote file:
- 9.02 MB
- SHA256:
- 4c8dfad4c67c05d402a646f7f26a3bc51c912722f4ccf7f963d3ca66edac2774
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