Instructions to use prajjwal1/bert-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajjwal1/bert-mini with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prajjwal1/bert-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from prajjwal1/bert-mini: direct link, hf CLI and curl.
- Browser
- Download file 45.1 MB
-
https://huggingface.co/prajjwal1/bert-mini/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://prajjwal1/bert-mini/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/prajjwal1/bert-mini/resolve/main/pytorch_model.bin
45.1 MB
- Xet hash:
- 5326aebc5497c8ef82bfb0c5f3dc5eb82620bc660166cade5f54e44de5122929
- Size of remote file:
- 45.1 MB
- SHA256:
- f7902e759e678cf77852a40a710e79bb83acb475c44c177773246d610818a5db
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.