Instructions to use sergioalves/50fd854b-4e58-4637-bb08-50da53ba3220 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/50fd854b-4e58-4637-bb08-50da53ba3220 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, "sergioalves/50fd854b-4e58-4637-bb08-50da53ba3220") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89060c24110dad20f88aa94c98ce9e5cfb6a16af25c5fbf61bd48514e5ebce42
- Size of remote file:
- 168 MB
- SHA256:
- 3145c26856c8ab6a71c87e4d14e0a6de82742501bb0769c5729fc5a1dc365262
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