Instructions to use kejian/immaculate-conditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/immaculate-conditional with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/immaculate-conditional") model = AutoModel.from_pretrained("kejian/immaculate-conditional", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/immaculate-conditional: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/kejian/immaculate-conditional/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/immaculate-conditional/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/immaculate-conditional/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- 4195af0dea7e32d5dd771a8a976f65ef2bb43077853ba25be59876e83318d173
- Size of remote file:
- 3.45 kB
- SHA256:
- 7be066842b6d16a84b9c2fa814c352359af32eb4c69ac984d820a3b50e0b0f56
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