Text Generation
PEFT
Safetensors
lora
qlora
invoice-extraction
information-extraction
qwen2.5
ocr
conversational
Instructions to use trishpurkait/billstructai-qwen-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use trishpurkait/billstructai-qwen-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, "trishpurkait/billstructai-qwen-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a889964345a7a417bc93e310e47236690dc104143edf753b802addbd7c57b42
- Size of remote file:
- 5.2 kB
- SHA256:
- a7e6dd5aa105021d8c1bcc4de3d9bd4608cc416cb50f6090c95e116d06bc7f92
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