Text Generation
PEFT
Safetensors
English
code-generation
coding-assistant
lora
qwen2.5
blitzkode
conversational
Instructions to use neuralbroker/blitzkode-lora-0.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use neuralbroker/blitzkode-lora-0.5b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "neuralbroker/blitzkode-lora-0.5b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c4de4cc81fcfd2a2cd0a65724a6e234342fbde8771ddd8b7a88dea8db367d17
- Size of remote file:
- 11.4 MB
- SHA256:
- 85acc0ed1a93f8b0e6c803b53edf0fe4898ac19a3fff657f21020d280364a0cf
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