Instructions to use kejian/cond-lovingly-base-drop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/cond-lovingly-base-drop with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/cond-lovingly-base-drop") model = AutoModel.from_pretrained("kejian/cond-lovingly-base-drop", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/cond-lovingly-base-drop: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/kejian/cond-lovingly-base-drop/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/cond-lovingly-base-drop/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/cond-lovingly-base-drop/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- c1dda8e6c33444e6ef29074b15e39587b1d7054fa10309e2d856f5696c2b5e99
- Size of remote file:
- 3.45 kB
- SHA256:
- bf0ef2ddfc19e8d504f2433bc7db962a6fa174fd0f6fcfa9283f99e4057dcd32
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