Text Classification
Keras
English
chemistry
scientific-literature
multilabel
classification
embeddings
Eval Results (legacy)
Instructions to use Bocklitz-Lab/lit2vec-subfield-classifier-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Bocklitz-Lab/lit2vec-subfield-classifier-model 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://Bocklitz-Lab/lit2vec-subfield-classifier-model") - Notebooks
- Google Colab
- Kaggle
Commit History
2 days ago
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update readme file
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the example in readme file is tested
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initial commit
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