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:
- eace727d0f3a18156f5fa4437e8e204893c0d32dc25017fb7e3c5c1945c166b1
- Size of remote file:
- 6.78 kB
- SHA256:
- 3d2c41c21a8d0e254654e76b919c51bcbc7411c4a656895b51fcdcaed806edc3
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