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_float16.tflite from pemix09/paperstack-semantic-search: direct link, hf CLI and curl.
- Browser
- Download file 235 MB
-
https://huggingface.co/pemix09/paperstack-semantic-search/resolve/main/model_float16.tflite
- Command line
-
hf download hf://pemix09/paperstack-semantic-search/model_float16.tflite
-
curl -L -o model_float16.tflite https://huggingface.co/pemix09/paperstack-semantic-search/resolve/main/model_float16.tflite
235 MB
- Xet hash:
- 10480fc0b3f42c48f9aa79c538eb6844534b83d2b36c7861ac4f70f2392beccf
- Size of remote file:
- 235 MB
- SHA256:
- eca23eda182e16aec1da06cbb430e3852e0dd9a332f22b24149be0fb48c3ccf0
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