Instructions to use BDRC/ScriptClassifier_Simple_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use BDRC/ScriptClassifier_Simple_v1 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://BDRC/ScriptClassifier_Simple_v1") - Notebooks
- Google Colab
- Kaggle
Download TibScripts_ConvNext_8Classes_600_binary.keras from BDRC/ScriptClassifier_Simple_v1: direct link, hf CLI and curl.
- Browser
- Download file 351 MB
-
https://huggingface.co/BDRC/ScriptClassifier_Simple_v1/resolve/20193cfbd3aea7e5705431415ad29e09ad66d991/TibScripts_ConvNext_8Classes_600_binary.keras
- Command line
-
hf download hf://BDRC/ScriptClassifier_Simple_v1@20193cfbd3aea7e5705431415ad29e09ad66d991/TibScripts_ConvNext_8Classes_600_binary.keras
-
curl -L -o TibScripts_ConvNext_8Classes_600_binary.keras https://huggingface.co/BDRC/ScriptClassifier_Simple_v1/resolve/20193cfbd3aea7e5705431415ad29e09ad66d991/TibScripts_ConvNext_8Classes_600_binary.keras
351 MB
- Xet hash:
- ec67aeea40be4e8550490bc8e827c26f5014d1e9378e6e86b931fdfc1716fbc7
- Size of remote file:
- 351 MB
- SHA256:
- 9fa45068aa51b5001c693b8d3b937ebee87e68f982844c59298f737d6b8625e9
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