Instructions to use giacomomiolo/bluebert_reupload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giacomomiolo/bluebert_reupload with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("giacomomiolo/bluebert_reupload", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from giacomomiolo/bluebert_reupload: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/giacomomiolo/bluebert_reupload/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://giacomomiolo/bluebert_reupload/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/giacomomiolo/bluebert_reupload/resolve/main/flax_model.msgpack
1.34 GB
- Xet hash:
- 127c4563795f59c8e66e402625587d37a422c97f7091eb70f3beaf50e1df0a85
- Size of remote file:
- 1.34 GB
- SHA256:
- c3b234e491610ae0b0ce23714317db18b12d95304c42982011915896db83c763
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.