Instructions to use txus/calbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use txus/calbert-base-uncased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("txus/calbert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from txus/calbert-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 47.3 MB
-
https://huggingface.co/txus/calbert-base-uncased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://txus/calbert-base-uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/txus/calbert-base-uncased/resolve/main/pytorch_model.bin
47.3 MB
- Xet hash:
- 57973179e32a2a0fdf4f34b1bc86158db1033d980a85684ef7378455c52be61c
- Size of remote file:
- 47.3 MB
- SHA256:
- 45d44bbda3846db0b7c2a652d9c2eca0e7984ac4421c803a4953834cfb670255
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.