Instructions to use DiffusionTableQA/llada-8b-table-sft-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DiffusionTableQA/llada-8b-table-sft-baseline with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("GSAI-ML/LLaDA-8B-Instruct") model = PeftModel.from_pretrained(base_model, "DiffusionTableQA/llada-8b-table-sft-baseline") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c807da60f84a7c21c33b1233758499a9266c04c8bf5d7d43e8ce95f1a172b9f
- Size of remote file:
- 336 MB
- SHA256:
- f92efd9e07f2d420ef30f64cab4d07d53186d30251278ac83018ef4b4173dc12
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