Instructions to use google/electra-large-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/electra-large-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google/electra-large-generator")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google/electra-large-generator") model = AutoModelForMaskedLM.from_pretrained("google/electra-large-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3724ae5ba00886c9e699d6cd2f07cbe4becefb45ef7d381b66dec14580d55001
- Size of remote file:
- 333 MB
- SHA256:
- cbc56b198be67cd7fbaac3089c877d261a21af3a810f3231af4e63d50b222215
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