Instructions to use kejian/debug-push with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/debug-push with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/debug-push") model = AutoModel.from_pretrained("kejian/debug-push", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-10/scaler.pt from kejian/debug-push: direct link, hf CLI and curl.
- Browser
- Download file 559 Bytes
-
https://huggingface.co/kejian/debug-push/resolve/main/checkpoint-10/scaler.pt
- Command line
-
hf download hf://kejian/debug-push/checkpoint-10/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/kejian/debug-push/resolve/main/checkpoint-10/scaler.pt
559 Bytes
- Xet hash:
- 774c643bb9ca45a72eb10589a8f77a3f2b549431042ace24871689b6415f8a47
- Size of remote file:
- 559 Bytes
- SHA256:
- 20e4b012b4b9ab1daa876390beea4afff370d4f83e20e939f16cdf1855daf52f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.