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 fingerprint.pb from hanaearg/BertSentiments: direct link, hf CLI and curl.
- Browser
- Download file 57 Bytes
-
https://huggingface.co/hanaearg/BertSentiments/resolve/main/fingerprint.pb
- Command line
-
hf download hf://hanaearg/BertSentiments/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/hanaearg/BertSentiments/resolve/main/fingerprint.pb
57 Bytes
- Xet hash:
- 9194fae9ad22971ae2c609b086068dfc324f7098e0bf7eee973e6bccc53edb3a
- Size of remote file:
- 57 Bytes
- SHA256:
- 9ab5badfdc4e680f29dc40d375dcb98c09ca1eeaed81caa55cc68bcef4a9b029
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