Instructions to use SaiGaneshanM/bert-classifier_FOR_FRAUD_AND_NORMAL_HACK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use SaiGaneshanM/bert-classifier_FOR_FRAUD_AND_NORMAL_HACK 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("SaiGaneshanM/bert-classifier_FOR_FRAUD_AND_NORMAL_HACK") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from SaiGaneshanM/bert-classifier_FOR_FRAUD_AND_NORMAL_HACK: direct link, hf CLI and curl.
- Browser
- Download file 9.4 MB
-
https://huggingface.co/SaiGaneshanM/bert-classifier_FOR_FRAUD_AND_NORMAL_HACK/resolve/main/saved_model.pb
- Command line
-
hf download hf://SaiGaneshanM/bert-classifier_FOR_FRAUD_AND_NORMAL_HACK/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/SaiGaneshanM/bert-classifier_FOR_FRAUD_AND_NORMAL_HACK/resolve/main/saved_model.pb
9.4 MB
- Xet hash:
- 37c5f5b6cb217295a8ed34a9d737bcc71c03b676a585b211609a658fd4cd0d11
- Size of remote file:
- 9.4 MB
- SHA256:
- 0e3f60041f4f5c34093b61dc01a5cb4a48c5d6a72893fa41d90574b2c65724dc
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