Instructions to use hf-tiny-model-private/tiny-random-ElectraForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ElectraForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ElectraForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-ElectraForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 013cc9b4b38f78cde25d8f9b63d3653942619f04be26dbcbe8e6844840bab063
- Size of remote file:
- 1.04 MB
- SHA256:
- 1c088f1ac4083d5c5aa5dd44ecd6b93da37aa50bc03857a9ef71152c9907ba64
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