Instructions to use Anatolejdm/split_3x3_ViT_SO400M_14_SigLIP_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Anatolejdm/split_3x3_ViT_SO400M_14_SigLIP_384 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/work1/aroger/anatolejdm/downloaded_models/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "Anatolejdm/split_3x3_ViT_SO400M_14_SigLIP_384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4913f042b3ff10ea8a21734a57b97553cfe16dd18dde6ed3efd821ea135ef28
- Size of remote file:
- 671 MB
- SHA256:
- 9260c7dcf275c2c4b7602a636227ce84d778b4732ae46b36d759aa6bd168f898
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.