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 tokenizer.json from shuvankar77/inetuned-llama-3-sqlcoder-8b: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/shuvankar77/inetuned-llama-3-sqlcoder-8b/resolve/main/tokenizer.json
- Command line
-
hf download hf://shuvankar77/inetuned-llama-3-sqlcoder-8b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/shuvankar77/inetuned-llama-3-sqlcoder-8b/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 4c89a4eba2212aa2cb2ab05558ac92d19ad9821fceba3608da5e9e3205a4ad5e
- Size of remote file:
- 17.2 MB
- SHA256:
- 48c9ca56ebbfc23281c8df805cd86f0dc464ada864492ec9e044b6b08c44b799
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