Instructions to use hf-internal-testing/tiny-random-ElectraForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ElectraForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ElectraForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-ElectraForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33e27b6388c169d44afa6d9f721bf5a86c803b312603127b6cf0b2799946a2e0
- Size of remote file:
- 1.02 MB
- SHA256:
- 59b621494c8816313ad0b25164e467eb7044864ac95e622c5168ad20db3fead2
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