Instructions to use aubmindlab/araelectra-base-discriminator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aubmindlab/araelectra-base-discriminator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("aubmindlab/araelectra-base-discriminator") model = AutoModelForPreTraining.from_pretrained("aubmindlab/araelectra-base-discriminator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from aubmindlab/araelectra-base-discriminator: direct link, hf CLI and curl.
- Browser
- Download file 541 MB
-
https://huggingface.co/aubmindlab/araelectra-base-discriminator/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://aubmindlab/araelectra-base-discriminator/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/aubmindlab/araelectra-base-discriminator/resolve/main/pytorch_model.bin
541 MB
- Xet hash:
- 35db6aaa98d10abb8c61dfd71134bb017544689d8978486d3eb4cbae0eec8119
- Size of remote file:
- 541 MB
- SHA256:
- 19c88dcaa12e6dce01cca46080ca1c31fdfbd4334324421eee7b860490371267
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