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:
- 2984895f658326ce968ce00b6a9ce5ff1bf561d9cd7e88032a5006d4cc1487e2
- Size of remote file:
- 14.6 kB
- SHA256:
- 3d9e0423930b2c6bc7b3ab65930e4877ec5430ac96dac479516f96673ac0211c
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