Instructions to use infogep/432c060d-9c29-44f3-ba02-7fdda0815d4a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use infogep/432c060d-9c29-44f3-ba02-7fdda0815d4a 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, "infogep/432c060d-9c29-44f3-ba02-7fdda0815d4a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f25da79335662034dc8f43d1494c04c669b0ad1b594a6305c1d1649d97dbdca1
- Size of remote file:
- 336 MB
- SHA256:
- 3a1bbe8359b43bdd813ccf0fa3d817b24c6bdd653cf72b4eba4ca3f23f79d4c9
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