Instructions to use zycao/star with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zycao/star with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaDot_InBatch tokenizer = AutoTokenizer.from_pretrained("zycao/star") model = RobertaDot_InBatch.from_pretrained("zycao/star", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from zycao/star: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/zycao/star/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://zycao/star/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zycao/star/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 37e28fd57ec8c7bdcd686833086373df7c5bd3de72b727ec28b7c2c328bab704
- Size of remote file:
- 499 MB
- SHA256:
- d6284e078f7406f3187c7b7e1fc2c27c2783ad1f96f00ccd74271db598166cb9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.