Instructions to use aspends/idiom_detection_ENG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use aspends/idiom_detection_ENG with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("aspends/idiom_detection_ENG", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download model_23.h5 from aspends/idiom_detection_ENG: direct link, hf CLI and curl.
- Browser
- Download file 1.11 MB
-
https://huggingface.co/aspends/idiom_detection_ENG/resolve/main/model_23.h5
- Command line
-
hf download hf://aspends/idiom_detection_ENG/model_23.h5
-
curl -L -o model_23.h5 https://huggingface.co/aspends/idiom_detection_ENG/resolve/main/model_23.h5
1.11 MB
- Xet hash:
- dfaec1cab2ecf435b24da3fcc7cdf13625fc33972408b7e7079077c7f4c17131
- Size of remote file:
- 1.11 MB
- SHA256:
- 09803d2d961348b532504ef7699dd5faf16fba064161024e3410135b2da03960
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.