Instructions to use Jnx03/kanitakorn-v12a-v12a-step320 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jnx03/kanitakorn-v12a-v12a-step320 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-v12a-v12a-step320") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce06f50a28bac1d56c245c307e74d33b28c6e9893fde91dcd7beb8c08ec86995
- Size of remote file:
- 5.78 kB
- SHA256:
- bd3b82e8e6527002138a073fa17edec0cfe3c9009108107c650aaa37ab866de0
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