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 flax_model.msgpack from prajjwal1/bert-mini: direct link, hf CLI and curl.
- Browser
- Download file 44.8 MB
-
https://huggingface.co/prajjwal1/bert-mini/resolve/refs%2Fpr%2F3/flax_model.msgpack
- Command line
-
hf download hf://prajjwal1/bert-mini@refs/pr/3/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/prajjwal1/bert-mini/resolve/refs%2Fpr%2F3/flax_model.msgpack
44.8 MB
- Xet hash:
- 98db0374ddabe54938c31e6d9412920da87a0304995535211eef6fda0f8f231e
- Size of remote file:
- 44.8 MB
- SHA256:
- f9f732f4b37976bc4d07ae81328aa8af39c53b054eed7a437fbbd98f6d191afa
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