Instructions to use prajjwal1/bert-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajjwal1/bert-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prajjwal1/bert-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from prajjwal1/bert-small: direct link, hf CLI and curl.
- Browser
- Download file 116 MB
-
https://huggingface.co/prajjwal1/bert-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://prajjwal1/bert-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/prajjwal1/bert-small/resolve/main/pytorch_model.bin
116 MB
- Xet hash:
- 761b4b0d0139d72da046ccee9f14f5ab2a749377a6f67a2546d515c2fc6a7e7a
- Size of remote file:
- 116 MB
- SHA256:
- 3452e7118d4a932c0ca4377b554c0348562d8bfe8f515ba2c0a8b50240119057
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