Instructions to use lysandre/tiny-bert-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/tiny-bert-random with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("lysandre/tiny-bert-random") model = AutoModelForPreTraining.from_pretrained("lysandre/tiny-bert-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from lysandre/tiny-bert-random: direct link, hf CLI and curl.
- Browser
- Download file 672 kB
-
https://huggingface.co/lysandre/tiny-bert-random/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lysandre/tiny-bert-random/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lysandre/tiny-bert-random/resolve/main/pytorch_model.bin
672 kB
- Xet hash:
- 041fcb63b95d7e7ee2efd2a8020c4c6fdefed04b6ec56d5e1795b002d092cb92
- Size of remote file:
- 672 kB
- SHA256:
- 8712fe3770a8e7f9ac9b2649eb9297cb6f2f807c977c7bb25bac3a6b341e2b8f
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