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:
- 163ed52b044466fe0c99937f4ee20daf6c5345f9a15d33ff3d9e011b570d471f
- Size of remote file:
- 47.8 MB
- SHA256:
- a40eb4f51c820f5bfb9e5e93444418c84d2f20c846393b78216975932bc3644a
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