Instructions to use google/electra-base-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/electra-base-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google/electra-base-generator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google/electra-base-generator") model = AutoModelForMaskedLM.from_pretrained("google/electra-base-generator", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from google/electra-base-generator: direct link, hf CLI and curl.
- Browser
- Download file 231 MB
-
https://huggingface.co/google/electra-base-generator/resolve/main/tf_model.h5
- Command line
-
hf download hf://google/electra-base-generator/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/google/electra-base-generator/resolve/main/tf_model.h5
231 MB
- Xet hash:
- ddc136d18c172f3f9e1d6f7a0c9f85c06269f0b94be0b5c3da48dbefc5819d70
- Size of remote file:
- 231 MB
- SHA256:
- 2d2c82ae80f4b6949ef5eddd49199f96771875036e0e585ab797b747e58eceaf
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