Instructions to use nhungphammmmm/049e3cc0-964c-4050-b7b8-bcb07b8f7e41 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/049e3cc0-964c-4050-b7b8-bcb07b8f7e41 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/049e3cc0-964c-4050-b7b8-bcb07b8f7e41") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50a06c0428c11098fdcc22a056621ed33cad46fc1713fb1c8f0d8b9c497d1401
- Size of remote file:
- 6.78 kB
- SHA256:
- 6c79c3e004b4236c28357096305e990c514072ade80f1bfabc4fddccfbb483ca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.