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_float32.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_float32.tflite
- Command line
-
hf download hf://pemix09/paperstack-semantic-search/model_float32.tflite
-
curl -L -o model_float32.tflite https://huggingface.co/pemix09/paperstack-semantic-search/resolve/main/model_float32.tflite
470 MB
- Xet hash:
- 79e312c1a151e9a9a603ac8fdbe012636f2e5bfadcff0554d0e63a37f6e8edc1
- Size of remote file:
- 470 MB
- SHA256:
- ed365ab5038d58817de73ab7798abf5c7ed35c2c5db92e565e4087b0b1c59163
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