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:
- a46a864d6ae0b233ffc0e490f364eded782824db90fbc4082a5fd5fa206a7167
- Size of remote file:
- 168 MB
- SHA256:
- 439542ace0a8ee023cee3663270b52c2835bf74c496dc296e9673159e2fc2838
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