Instructions to use C10X/checkpoint-209 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use C10X/checkpoint-209 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("C10X/model2223") model = PeftModel.from_pretrained(base_model, "C10X/checkpoint-209") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fc8237eaf39e49899c0a443875dd4b3109fcfbe03531134545905eea416e0e5
- Size of remote file:
- 75.5 MB
- SHA256:
- ef38cca647f47bbd043df3a0fc858b036d668692648a799a200b9f11d10a9a35
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.