Instructions to use Yiming1234/4k-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yiming1234/4k-steps with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Yiming1234/4k-steps", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2000/tokenizer.json from Yiming1234/4k-steps: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Yiming1234/4k-steps/resolve/main/checkpoint-2000/tokenizer.json
- Command line
-
hf download hf://Yiming1234/4k-steps/checkpoint-2000/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Yiming1234/4k-steps/resolve/main/checkpoint-2000/tokenizer.json
11.4 MB
- Xet hash:
- 109ea3273ff180b714cd544612ecb086b6df20866148c30fc804081d813f1a90
- Size of remote file:
- 11.4 MB
- SHA256:
- 55b76f98b2c2ca7c24fc62a0775fdb2db68a29790eefa5f295ce8c74aef987fc
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