Instructions to use kejian/cond-lovingly-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/cond-lovingly-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/cond-lovingly-base") model = AutoModel.from_pretrained("kejian/cond-lovingly-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/cond-lovingly-base: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/kejian/cond-lovingly-base/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/cond-lovingly-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/cond-lovingly-base/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- 3293fa7f5030ef7b6cfbf80319cc9cfdf77d65097de53b7dae8eda1ec81e96f9
- Size of remote file:
- 3.45 kB
- SHA256:
- 26a6a1c30254f58fe2bbd6f9a8ddb92172c15f9bf69a044ae4a1c05b0397ff28
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