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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Bocklitz-Lab/lit2vec-subfield-classifier-model") - Notebooks
- Google Colab
- Kaggle
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