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 checkpoint-5000/optimizer.pt from kejian/cond-lovingly-base: direct link, hf CLI and curl.
- Browser
- Download file 888 MB
-
https://huggingface.co/kejian/cond-lovingly-base/resolve/main/checkpoint-5000/optimizer.pt
- Command line
-
hf download hf://kejian/cond-lovingly-base/checkpoint-5000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kejian/cond-lovingly-base/resolve/main/checkpoint-5000/optimizer.pt
888 MB
- Xet hash:
- 6844bd6bcaaf57c36f993e5beeb2e4674685946e6026da2dc79e23654c240699
- Size of remote file:
- 888 MB
- SHA256:
- edede1f00e40c1edcc7c57758347281beb07d39bb2b200bbdedaf7551226cafd
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