Instructions to use Jnx03/kanitakorn-v9r16-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jnx03/kanitakorn-v9r16-final with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("typhoon-ai/typhoon-s-thaillm-8b-instruct-research-preview") model = PeftModel.from_pretrained(base_model, "Jnx03/kanitakorn-v9r16-final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 164d02033e98293bbda96d1773eaa40831998ef11a79218bbf0e29fb31ac526c
- Size of remote file:
- 5.78 kB
- SHA256:
- f9240237715a876b7e88e364d3cd59c2e8c3622a006a53005e77d1bac81189a1
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