Instructions to use hf-tiny-model-private/tiny-random-AlbertForPreTraining 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-AlbertForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-AlbertForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-AlbertForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adb3b072f2c196633ef98ea50508fade30e56b4f0db072181a5baeb69c08c12c
- Size of remote file:
- 16 MB
- SHA256:
- a1a8d8386f1a7f1906abb593eecd6f59a903e5ce6a76ee149da7cb15070527e3
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