Instructions to use BramVanroy/bleurt-large-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use BramVanroy/bleurt-large-128 with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("BramVanroy/bleurt-large-128") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from BramVanroy/bleurt-large-128: direct link, hf CLI and curl.
- Browser
- Download file 1.79 MB
-
https://huggingface.co/BramVanroy/bleurt-large-128/resolve/main/saved_model.pb
- Command line
-
hf download hf://BramVanroy/bleurt-large-128/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/BramVanroy/bleurt-large-128/resolve/main/saved_model.pb
1.79 MB
- Xet hash:
- 2dddd09ab4b44c86529c6b098b39b880df4fd1d62640a09ddbc502dc26a32092
- Size of remote file:
- 1.79 MB
- SHA256:
- 8d57d5eb0cce643e986079f43381b0bd7f47734c0d43fa92ca8295e6f0f0b88f
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