Instructions to use dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-13b-hf-flash") model = PeftModel.from_pretrained(base_model, "dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccb08b2e18bab2afaa9bb87346e4411a91a8e31afec1bd947811c613eeae70cd
- Size of remote file:
- 251 MB
- SHA256:
- bbde1f7d3f8e306ffc335467a4cd94a6bbe4802fe2b8b87b0d85b79d31b8ef58
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