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:
- e9f5aabeca8b2cc3071e29ef58a6a1ea1e88abc2c3fea8c02836e73c2ffccf6d
- Size of remote file:
- 6.78 kB
- SHA256:
- 4073840913195d4e312a962b22fa1c566b1e9ec72617962aa9597a7628a3e7ee
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