Instructions to use zeromodels/electra_base_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/electra_base_generator with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/electra_base_generator") - Keras
How to use zeromodels/electra_base_generator 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://zeromodels/electra_base_generator") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from zeromodels/electra_base_generator: direct link, hf CLI and curl.
- Browser
- Download file 229 MB
-
https://huggingface.co/zeromodels/electra_base_generator/resolve/main/model.weights.h5
- Command line
-
hf download hf://zeromodels/electra_base_generator/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/zeromodels/electra_base_generator/resolve/main/model.weights.h5
229 MB
- Xet hash:
- 8e87546d7123880d68d5ad127a6816e85b8ffbdce69cc1b4ba89cb48c29bcdd2
- Size of remote file:
- 229 MB
- SHA256:
- 6980df926d385f3c52ac1f6216e56aa46e5ad109fc1ed5f697384bb74ff194d7
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