Instructions to use arham6/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arham6/tmp with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-llm-7b-chat") model = PeftModel.from_pretrained(base_model, "arham6/tmp") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- cd593c68b1baa89a375195b5ec6e5481cc9beadaf62b8ba2bd1bf266ed0941a7
- Size of remote file:
- 5.3 kB
- SHA256:
- dd716c05283df8add0b6f2a7ce305d33d935512c53a985c463161e3e1fe0ea81
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