Text Generation
PEFT
Safetensors
English
qwen2.5
unsloth
lora
interview
software-engineering
conversational
Instructions to use shimogerald/lora_interview_coach with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shimogerald/lora_interview_coach with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "shimogerald/lora_interview_coach") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 2f127f266c3f7219baaeb5f54dc636c79952102d7cdbe3e6fb298d9363934610
- Size of remote file:
- 11.4 MB
- SHA256:
- 6b4360dd6a184650ffc48056c2569bc603f896c5adfe94b10f1c79f809638aa5
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