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 tf_model.h5 from ydshieh/tiny-random-BertForPreTraining: direct link, hf CLI and curl.
- Browser
- Download file 718 kB
-
https://huggingface.co/ydshieh/tiny-random-BertForPreTraining/resolve/main/tf_model.h5
- Command line
-
hf download hf://ydshieh/tiny-random-BertForPreTraining/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/ydshieh/tiny-random-BertForPreTraining/resolve/main/tf_model.h5
718 kB
- Xet hash:
- 7fbba8a37b766d218bb089bf99848279505a9726dea7491f090b6b03cfa0423a
- Size of remote file:
- 718 kB
- SHA256:
- 2c45c68c5d35abc608a7629763bd4c2c6ac6522f92a9df36c9eb6150edc0a4bf
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