Instructions to use pemix09/paperstack_document_data_retrieval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use pemix09/paperstack_document_data_retrieval 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_document_data_retrieval") - Notebooks
- Google Colab
- Kaggle
Download .idea/vcs.xml from pemix09/paperstack_document_data_retrieval: direct link, hf CLI and curl.
- Browser
- Download file 180 Bytes
-
https://huggingface.co/pemix09/paperstack_document_data_retrieval/resolve/main/.idea/vcs.xml
- Command line
-
hf download hf://pemix09/paperstack_document_data_retrieval/.idea/vcs.xml
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curl -L -o vcs.xml https://huggingface.co/pemix09/paperstack_document_data_retrieval/resolve/main/.idea/vcs.xml
180 Bytes
| <project version="4"> | |
| <component name="VcsDirectoryMappings"> | |
| <mapping directory="$PROJECT_DIR$" vcs="Git" /> | |
| </component> | |
| </project> |