Instructions to use Jnx03/kanitakorn-v13a-v13a-step80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jnx03/kanitakorn-v13a-v13a-step80 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-v13a-v13a-step80") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b78f78d2ee63489f5ff7fcd94c046c6860c86917f4682d9513d27d46cee85f57
- Size of remote file:
- 5.78 kB
- SHA256:
- 15670ba7710109d068d6e402e484daf7f0fe12add1b9c8caed8ba61fda790ca4
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