Instructions to use google/electra-small-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/electra-small-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google/electra-small-generator")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google/electra-small-generator") model = AutoModelForMaskedLM.from_pretrained("google/electra-small-generator") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ebc8d09d1756735113e84dd46e44125944ccaf1a5203c5e403f1d14a5784217
- Size of remote file:
- 54.2 MB
- SHA256:
- 0024548b9e17fd7740ed28ed8ee56397d7cdbabfeaa0e934e32b275b05b96378
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