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:
- d621db540c48d2bf5dcf6c08ce7e43dcf42925d1ef6c8bc3722eb6663262948a
- Size of remote file:
- 718 kB
- SHA256:
- e92e98821c6850978c28cabf0eee92c876002fe392f76007f25129e82ca345bb
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