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 model_dynamic_range.tflite from pemix09/paperstack-semantic-search: direct link, hf CLI and curl.
- Browser
- Download file 470 MB
-
https://huggingface.co/pemix09/paperstack-semantic-search/resolve/main/model_dynamic_range.tflite
- Command line
-
hf download hf://pemix09/paperstack-semantic-search/model_dynamic_range.tflite
-
curl -L -o model_dynamic_range.tflite https://huggingface.co/pemix09/paperstack-semantic-search/resolve/main/model_dynamic_range.tflite
470 MB
- Xet hash:
- cbde1e9762f81404beabec7254b72cf4b98a5e80ee5abc82af8f68101af42745
- Size of remote file:
- 470 MB
- SHA256:
- 6eecd55adb6d2cefebbe2bd0fdcc656735a651d2b4cdaa500f4a3476a81ce931
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