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/variables/variables.data-00000-of-00001 from NightRaven/bangla-emergency-post-classification: direct link, hf CLI and curl.
- Browser
- Download file 374 MB
-
https://huggingface.co/NightRaven/bangla-emergency-post-classification/resolve/main/dnn/BiLSTM.model/variables/variables.data-00000-of-00001
- Command line
-
hf download hf://NightRaven/bangla-emergency-post-classification/dnn/BiLSTM.model/variables/variables.data-00000-of-00001
-
curl -L -o variables.data-00000-of-00001 https://huggingface.co/NightRaven/bangla-emergency-post-classification/resolve/main/dnn/BiLSTM.model/variables/variables.data-00000-of-00001
374 MB
- Xet hash:
- 00a1bd24838238118e56f77adf2392707e349bc3a10b3c5b35eeb34632af2815
- Size of remote file:
- 374 MB
- SHA256:
- 9eab58844bfacffc28a60e83d7bfdd6aaac2eff35640b291441b00e715e769ae
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