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:
- 8f6e296bc57618c1c70e060db2eb510b4ad39a50d9055e8e0a5e02679c349f3f
- Size of remote file:
- 1.47 kB
- SHA256:
- 1185fa2d3a29be78cd42207b933e6302b70e6d88d3efd0a4ce2c20a0a7086ae6
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