Instructions to use Jnx03/kanitakorn-v14a-v14a-step160 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jnx03/kanitakorn-v14a-v14a-step160 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-v14a-v14a-step160") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 686437cf5c45783be78393d4dd4190d1b9f286db6da1c16614ea7308ccf4f90e
- Size of remote file:
- 5.78 kB
- SHA256:
- f6a72eea52b8b64b4dca71232ddb043f297b0257e4531aad876847da82ee8b5d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.