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
Adding Neuron-optimized model files
#6 opened 10 months ago
by
badaoui
Adding `safetensors` variant of this model
#5 opened about 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot
Warning about this not being scaled for pretraining with google/electra-small-discriminator?
2
#1 opened over 3 years ago
by
nthngdy