Instructions to use Pakawat-Phasook/adapter_ThaiSC_LLM_Scamper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pakawat-Phasook/adapter_ThaiSC_LLM_Scamper with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openthaigpt/openthaigpt-1.0.0-7b-chat") model = PeftModel.from_pretrained(base_model, "Pakawat-Phasook/adapter_ThaiSC_LLM_Scamper") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1590d539992160eb48140368359bbf1202e45f5849c3ed7539ba865eab028d7
- Size of remote file:
- 4.98 kB
- SHA256:
- 0a70d2e0590579a97cdf9841f57f3c175df3303476b895a4a7dacbbd8a0667e8
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