Instructions to use vmpsergio/b540099b-c17e-4950-b752-3c39013da8ec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vmpsergio/b540099b-c17e-4950-b752-3c39013da8ec 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, "vmpsergio/b540099b-c17e-4950-b752-3c39013da8ec") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dd2e3b4cc81cba22869f2ae87ad0be259b302b86417a57745de953ef053ae5b
- Size of remote file:
- 336 MB
- SHA256:
- eb04cba29b74ac5b1cd34cfcc68486e88d4758d37165ee71262c7061420dd51a
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