Instructions to use asach/SIH-BERT_MULTI_CLASS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use asach/SIH-BERT_MULTI_CLASS 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("asach/SIH-BERT_MULTI_CLASS") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from asach/SIH-BERT_MULTI_CLASS: direct link, hf CLI and curl.
- Browser
- Download file 12.8 MB
-
https://huggingface.co/asach/SIH-BERT_MULTI_CLASS/resolve/main/saved_model.pb
- Command line
-
hf download hf://asach/SIH-BERT_MULTI_CLASS/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/asach/SIH-BERT_MULTI_CLASS/resolve/main/saved_model.pb
12.8 MB
- Xet hash:
- f8cd33a4628e9ba8730c34f07c2c6b52bbd2b6b5aa13d9d1ad98f7fce226722a
- Size of remote file:
- 12.8 MB
- SHA256:
- 39dec9ce76dbe627de36dea08685cc9187dbb61a2acc7a9c314c7850dc2ec5b9
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