Instructions to use hanaearg/BertSentiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use hanaearg/BertSentiments 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("hanaearg/BertSentiments") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from hanaearg/BertSentiments: direct link, hf CLI and curl.
- Browser
- Download file 10.7 MB
-
https://huggingface.co/hanaearg/BertSentiments/resolve/main/saved_model.pb
- Command line
-
hf download hf://hanaearg/BertSentiments/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/hanaearg/BertSentiments/resolve/main/saved_model.pb
10.7 MB
- Xet hash:
- 824d9189d1a9e10725b3ae3c26cf1a4864ac388f2bf226e59e17bcabad0a4ad3
- Size of remote file:
- 10.7 MB
- SHA256:
- 2cb9543e6b4a257b046293c26f6df6b75683dd4948c907bd65bf1b57101d1a2e
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