Instructions to use hf-tiny-model-private/tiny-random-BertForPreTraining 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-BertForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BertForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-BertForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ee8cf53a87f3a3f596413cfd0942500affcb335d1d3b6d0d97874ffa05e6d7b
- Size of remote file:
- 395 kB
- SHA256:
- e29d9dc849983343e69873af80d9103236a3eec5a2330dda05f8c2e05afbd6f8
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