Instructions to use stormsidali2001/IMRAD-introduction-move-zero-sub-moves-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use stormsidali2001/IMRAD-introduction-move-zero-sub-moves-classifier 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("stormsidali2001/IMRAD-introduction-move-zero-sub-moves-classifier") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from stormsidali2001/IMRAD-introduction-move-zero-sub-moves-classifier: direct link, hf CLI and curl.
- Browser
- Download file 16.9 MB
-
https://huggingface.co/stormsidali2001/IMRAD-introduction-move-zero-sub-moves-classifier/resolve/main/saved_model.pb
- Command line
-
hf download hf://stormsidali2001/IMRAD-introduction-move-zero-sub-moves-classifier/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/stormsidali2001/IMRAD-introduction-move-zero-sub-moves-classifier/resolve/main/saved_model.pb
16.9 MB
- Xet hash:
- d17377897ed0e877881aba70f73471972adc92d0a8b1e7016533f0504872a22b
- Size of remote file:
- 16.9 MB
- SHA256:
- be1af3fdc00425d12471305c0702e8be0897037112593e66b06ef3f457be2524
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.