Instructions to use mrHunghddddd/006b4b7b-5d8f-41d3-87f6-4d64e33dfbfc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHunghddddd/006b4b7b-5d8f-41d3-87f6-4d64e33dfbfc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "mrHunghddddd/006b4b7b-5d8f-41d3-87f6-4d64e33dfbfc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 688aad13b0d6048d92cb99d38de02e4f2223bb3c74314d55745414c91d12361c
- Size of remote file:
- 6.78 kB
- SHA256:
- 322f075480cb37dd6af424ef3c59e2c0bb8096ed47b13c52e6d800a5a620fa2d
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