Text Generation
PEFT
Safetensors
qwen3-coder
coding
software-engineering
lora
Mixture of Experts
tiny-pickle
conversational
Instructions to use vsan/tiny-pickle-v3-coder-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vsan/tiny-pickle-v3-coder-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-Coder-30B-A3B-Instruct") model = PeftModel.from_pretrained(base_model, "vsan/tiny-pickle-v3-coder-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 449cbe1d877caa904a0b0392487e0d6fa8f4f85bc989f4092d6f8db7c28998b0
- Size of remote file:
- 14.6 kB
- SHA256:
- 4ce75f619ca291c4e54bd34ff6e0e747d4c8bb8711b30eeff75d2aeee4d24d9d
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