Instructions to use ydshieh/tiny-random-BertForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-BertForPreTraining with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-BertForPreTraining") model = AutoModelForPreTraining.from_pretrained("ydshieh/tiny-random-BertForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ydshieh/tiny-random-BertForPreTraining: direct link, hf CLI and curl.
- Browser
- Download file 394 kB
-
https://huggingface.co/ydshieh/tiny-random-BertForPreTraining/resolve/refs%2Fpr%2F2/pytorch_model.bin
- Command line
-
hf download hf://ydshieh/tiny-random-BertForPreTraining@refs/pr/2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ydshieh/tiny-random-BertForPreTraining/resolve/refs%2Fpr%2F2/pytorch_model.bin
394 kB
- Xet hash:
- 72e84668efc7f4d57a51c29069143e31202f9515f9f2e3f18cdbc89803552d83
- Size of remote file:
- 394 kB
- SHA256:
- 3697ce5440c6363ad77b243ccd930c038e5d703ef7b5a6538d23f5b7a767c766
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