Instructions to use google/electra-base-discriminator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/electra-base-discriminator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/electra-base-discriminator") model = AutoModelForPreTraining.from_pretrained("google/electra-base-discriminator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from google/electra-base-discriminator: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/google/electra-base-discriminator/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://google/electra-base-discriminator/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/google/electra-base-discriminator/resolve/main/flax_model.msgpack
438 MB
- Xet hash:
- 2642fb7fffd9e59519a2038d9a02f14a943a0304df6033bff20049b19ad88070
- Size of remote file:
- 438 MB
- SHA256:
- c4971c644428bc1d70f5427c177dace0344337f1cc6f9fed7e02b6e63e16c420
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