Instructions to use google/electra-base-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/electra-base-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google/electra-base-generator")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google/electra-base-generator") model = AutoModelForMaskedLM.from_pretrained("google/electra-base-generator") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7b81b20aeb24b15961fdd2747cc8e5d5e13551e47ba296763a46e83c76fa129
- Size of remote file:
- 135 MB
- SHA256:
- 1dc395e7f3bf849543d2c031a5b6b09751a5e8644fb11f9085f90eceb4afd086
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