Instructions to use OpCustom/OpAI1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use OpCustom/OpAI1.1 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("OpCustom/OpAI1.1", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download tiny_llama_model.pth from OpCustom/OpAI1.1: direct link, hf CLI and curl.
- Browser
- Download file 29 MB
-
https://huggingface.co/OpCustom/OpAI1.1/resolve/main/tiny_llama_model.pth
- Command line
-
hf download hf://OpCustom/OpAI1.1/tiny_llama_model.pth
-
curl -L -o tiny_llama_model.pth https://huggingface.co/OpCustom/OpAI1.1/resolve/main/tiny_llama_model.pth
29 MB
- Xet hash:
- 3a787d69afbbaeac2a9c5ab84f6fec6173cb05ad2775aa1dcda7a35324d6918d
- Size of remote file:
- 29 MB
- SHA256:
- 5761ad26bb663d61e9af274845b0122825705cecfcd9ac9aeb1140b100fca102
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.