Text Generation
PEFT
Safetensors
English
code-generation
coding-assistant
lora
qwen2.5
blitzkode
conversational
Instructions to use neuralbroker/blitzkode-1.5b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use neuralbroker/blitzkode-1.5b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "neuralbroker/blitzkode-1.5b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87349641fe8ddda5a204c50645a131fb8aaf65a127d5079e29ce190bb80e98f0
- Size of remote file:
- 11.4 MB
- SHA256:
- 04c5a433a454dcf945e826dea381181827c01c6a9f99c5d1eb969b77c364d6da
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