Instructions to use aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7d5b1c5ac99463424c45c9f7b929d61438000cc8e6c58bc398ebbe659ece452
- Size of remote file:
- 6.84 kB
- SHA256:
- 7fc4b7ffb3bf900e3129c553e9854786ea87d2a1828306a0a3ec81bead1a661a
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