Instructions to use kejian/blurry-conditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/blurry-conditional with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/blurry-conditional") model = AutoModel.from_pretrained("kejian/blurry-conditional", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/blurry-conditional: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/kejian/blurry-conditional/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/blurry-conditional/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/blurry-conditional/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- 3a001b68c1cf88eab20eac557c9c0997a49ff9d980b587222db531395a9bb935
- Size of remote file:
- 3.39 kB
- SHA256:
- 4b9657ce0ce5d4d5a16a4a121bd54a01c803ec4c98caca15c38117220f14736e
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