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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 143ff58e7e081309e67298cd24895c174258b035dd2e759e33f6b5d8271f5a24
- Size of remote file:
- 16 MB
- SHA256:
- c284aef52941dc0fbfd63abb300788f02ac3312fc13ca07cffbe810d16facf88
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