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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c75ce54daeb59601fc7a1ab360d2ca04554165b5304fb35369baf5533fcdb147
- Size of remote file:
- 229 MB
- SHA256:
- c09d96a36d36a70d5ffdc10ac537cbb399c6a5b06bd6250579c1a99a301e5203
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