Instructions to use pemix09/paperstack-semantic-search with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use pemix09/paperstack-semantic-search 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("pemix09/paperstack-semantic-search") - Notebooks
- Google Colab
- Kaggle
Download temp_saved_model/saved_model.pb from pemix09/paperstack-semantic-search: direct link, hf CLI and curl.
- Browser
- Download file 6.63 MB
-
https://huggingface.co/pemix09/paperstack-semantic-search/resolve/main/temp_saved_model/saved_model.pb
- Command line
-
hf download hf://pemix09/paperstack-semantic-search/temp_saved_model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/pemix09/paperstack-semantic-search/resolve/main/temp_saved_model/saved_model.pb
6.63 MB
- Xet hash:
- 70cce7aad17135d211851b064b519dc0509cace8e0fca2891fcf65c4df7118bb
- Size of remote file:
- 6.63 MB
- SHA256:
- 6032924762227d4756999911e2e7c9a49b548c43245b52330bd934ed028ac745
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