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:
- 7517f3fda3e9c245c548b7166c58bea06a1229b646ac2d4f1291d32ab5154b8d
- Size of remote file:
- 1.38 kB
- SHA256:
- 4a0b4230f34cfc1b81dc2c15ef8d265bdd348193f5a746ca2018df11549c7ac0
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