Instructions to use laquythang/9648010f-6845-4231-9506-f0e344dbfef5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/9648010f-6845-4231-9506-f0e344dbfef5 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, "laquythang/9648010f-6845-4231-9506-f0e344dbfef5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47c539d8a721a2a6a240f4660d7fdee860a35294b3101522e251112498a6ffae
- Size of remote file:
- 6.78 kB
- SHA256:
- 75122ffed8cba828acad221ef9b0b427f2d244e0d8a8818a4f8ad085fc0c4a72
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