Instructions to use prajjwal1/bert-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajjwal1/bert-tiny with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prajjwal1/bert-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from prajjwal1/bert-tiny: direct link, hf CLI and curl.
- Browser
- Download file 17.8 MB
-
https://huggingface.co/prajjwal1/bert-tiny/resolve/fad0167cb61f10ce02a2c816a09c2bc932aa0908/pytorch_model.bin
- Command line
-
hf download hf://prajjwal1/bert-tiny@fad0167cb61f10ce02a2c816a09c2bc932aa0908/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/prajjwal1/bert-tiny/resolve/fad0167cb61f10ce02a2c816a09c2bc932aa0908/pytorch_model.bin
17.8 MB
- Xet hash:
- 05526191ad0e4fa22e3d4fdb7160def3c04f6534de288d2795a40d105d3fb965
- Size of remote file:
- 17.8 MB
- SHA256:
- dab2c2bddcfb48ea430ef63fd76d46d67d704487844d967256a50dd7d7fd0a66
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