Instructions to use abdelrhman145/LayoutLMv3-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abdelrhman145/LayoutLMv3-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("microsoft/layoutlmv3-base") model = PeftModel.from_pretrained(base_model, "abdelrhman145/LayoutLMv3-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5d3a51b92cd3ef6cec53e278e08d967929011c37953197f163a8c54ddc0a500
- Size of remote file:
- 5.24 kB
- SHA256:
- baa2580285ed0dd72f0ad5ee5175e8396cfeecd2634394e798c13b454549a04d
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