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:
- 9a46ff989746043baa66296d09651aaf7326fed59abeb2cc1764c9fd0d74ebc5
- Size of remote file:
- 336 MB
- SHA256:
- 009ea3f2241026b19c4a7cccaece23e0737b7c6b52d86f3e23215ff45fa19d12
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