Instructions to use hf-internal-testing/tiny-random-AlbertForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-AlbertForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-AlbertForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-AlbertForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0eb61b7c5431cd6129cdc069072799dd89166612e52758211be5f21702577407
- Size of remote file:
- 16 MB
- SHA256:
- da3f5b711642e47f32ef64d612ae3d3b3cd56728c87a8bec92ef13236869d60f
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