Instructions to use shuvankar77/inetuned-llama-3-sqlcoder-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shuvankar77/inetuned-llama-3-sqlcoder-8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/llama-3-sqlcoder-8b") model = PeftModel.from_pretrained(base_model, "shuvankar77/inetuned-llama-3-sqlcoder-8b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shuvankar77/inetuned-llama-3-sqlcoder-8b: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/shuvankar77/inetuned-llama-3-sqlcoder-8b/resolve/main/training_args.bin
- Command line
-
hf download hf://shuvankar77/inetuned-llama-3-sqlcoder-8b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shuvankar77/inetuned-llama-3-sqlcoder-8b/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- b8f67124e1f363e2ee74886bc4d3baa8ce0ff351b8cb84b255788091400c51bc
- Size of remote file:
- 5.3 kB
- SHA256:
- 0fefd5296a7334cb9925ffcce9f706b5b24834a45f6c6c7861e55b54388c8921
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