Instructions to use Liam/NRL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Liam/NRL with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import TFAutoModel model = TFAutoModel.from_pretrained("Liam/NRL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Liam/NRL: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/Liam/NRL/resolve/main/tf_model.h5
- Command line
-
hf download hf://Liam/NRL/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Liam/NRL/resolve/main/tf_model.h5
440 MB
- Xet hash:
- d5929777de58b78227658ede1affa51138334943eede49491950cb997313908e
- Size of remote file:
- 440 MB
- SHA256:
- d1c11a7a92963a60834bc3ddbd83edf7eeaafedc2e13d8067dce210297708847
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