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:
- 49e54243ce7f5c1c0ebb3bc01cc0a430d66072abfc0c2d335dfd16757542da26
- Size of remote file:
- 31.9 MB
- SHA256:
- 486e6902cd36ebc1a514d3ddbd3a56efa6985247f363484978b13a4bf30adaa7
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