Instructions to use jplu/tiny-tf-bert-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jplu/tiny-tf-bert-random with Transformers:
# Load model directly from transformers import TFAutoModel model = TFAutoModel.from_pretrained("jplu/tiny-tf-bert-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b84a9cd057e5956b9a10d94debd0368a3994274a4f66941fb1d753604a1fbaae
- Size of remote file:
- 100 kB
- SHA256:
- fba7752b3c5853a12856e6bdeb7d24be85b8151ca74cbaecddefbe694c7ffb10
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