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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from google/electra-small-generator: direct link, hf CLI and curl.
- Browser
- Download file 29 Bytes
-
https://huggingface.co/google/electra-small-generator/resolve/refs%2Fpr%2F3/tokenizer_config.json
- Command line
-
hf download hf://google/electra-small-generator@refs/pr/3/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/google/electra-small-generator/resolve/refs%2Fpr%2F3/tokenizer_config.json
29 Bytes
| { | |
| "do_lower_case": true | |
| } | |