Instructions to use Tal-R/so-based-BERT-first-serving with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Tal-R/so-based-BERT-first-serving 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("Tal-R/so-based-BERT-first-serving") - Notebooks
- Google Colab
- Kaggle
Download model/saved_model.pb from Tal-R/so-based-BERT-first-serving: direct link, hf CLI and curl.
- Browser
- Download file 17.4 MB
-
https://huggingface.co/Tal-R/so-based-BERT-first-serving/resolve/main/model/saved_model.pb
- Command line
-
hf download hf://Tal-R/so-based-BERT-first-serving/model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Tal-R/so-based-BERT-first-serving/resolve/main/model/saved_model.pb
17.4 MB
- Xet hash:
- 150c55093b69615ace7b890e3787e404c9cb31b3ce1e960ca3faac3f0dc4db87
- Size of remote file:
- 17.4 MB
- SHA256:
- 990f209ef42f0ab48724a771c3602ae6b77bc87d47b48fc714e3f65ef3629273
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