Instructions to use NightRaven/bangla-emergency-post-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use NightRaven/bangla-emergency-post-classification with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("NightRaven/bangla-emergency-post-classification") - Notebooks
- Google Colab
- Kaggle
Download dnn/LSTM.model/saved_model.pb from NightRaven/bangla-emergency-post-classification: direct link, hf CLI and curl.
- Browser
- Download file 619 kB
-
https://huggingface.co/NightRaven/bangla-emergency-post-classification/resolve/main/dnn/LSTM.model/saved_model.pb
- Command line
-
hf download hf://NightRaven/bangla-emergency-post-classification/dnn/LSTM.model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/NightRaven/bangla-emergency-post-classification/resolve/main/dnn/LSTM.model/saved_model.pb
619 kB
- Xet hash:
- f35877fb86ba866e8397e2dd96cda8f39c63c5db4b3e56882239b6c4f23c53e9
- Size of remote file:
- 619 kB
- SHA256:
- 0bfea7cad4963097e9bc107ed3bd6400687a3ff62bbf61068497ad9bf1d3b85f
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