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/fingerprint.pb from NightRaven/bangla-emergency-post-classification: direct link, hf CLI and curl.
- Browser
- Download file 55 Bytes
-
https://huggingface.co/NightRaven/bangla-emergency-post-classification/resolve/main/dnn/LSTM.model/fingerprint.pb
- Command line
-
hf download hf://NightRaven/bangla-emergency-post-classification/dnn/LSTM.model/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/NightRaven/bangla-emergency-post-classification/resolve/main/dnn/LSTM.model/fingerprint.pb
55 Bytes
- Xet hash:
- b18e770d1345f10b4da8aa2b72d58bf2d2d7d1551683ba56e6c70feeed881e1c
- Size of remote file:
- 55 Bytes
- SHA256:
- 3f77eb6938cb4991f5283aeb098bdaab7d4e2b507127e5f234985eeb8b64e61a
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