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), 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("NightRaven/bangla-emergency-post-classification") - Notebooks
- Google Colab
- Kaggle
Download dnn/BiLSTM.model/saved_model.pb from NightRaven/bangla-emergency-post-classification: direct link, hf CLI and curl.
- Browser
- Download file 4.44 MB
-
https://huggingface.co/NightRaven/bangla-emergency-post-classification/resolve/main/dnn/BiLSTM.model/saved_model.pb
- Command line
-
hf download hf://NightRaven/bangla-emergency-post-classification/dnn/BiLSTM.model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/NightRaven/bangla-emergency-post-classification/resolve/main/dnn/BiLSTM.model/saved_model.pb
4.44 MB
- Xet hash:
- daf221efd884bb88bde742c4d542fe1572830fa0519fe7f9cb702767fa6fddb6
- Size of remote file:
- 4.44 MB
- SHA256:
- 81509518041fd008e903112efb1ece69222d0e30fd7ee3c0c80b094a812a31c9
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