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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa8172856d909892b5be9425a141d5c94096cd793c17feb4fd676f6b1094186c
- Size of remote file:
- 205 MB
- SHA256:
- 20f247fe3a049aab37bf97d535dde2194eab9ba6047dd728efe7b7b58e4e59ba
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