Instructions to use kejian/devel-conditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/devel-conditional with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/devel-conditional") model = AutoModel.from_pretrained("kejian/devel-conditional", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/devel-conditional: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/kejian/devel-conditional/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/devel-conditional/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/devel-conditional/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- 114f44d4f45e7e43c8de1ee1fcff0c504f3c083996f777d5994f0551374cabe4
- Size of remote file:
- 3.39 kB
- SHA256:
- 975c7936a9faf8fcc36e9af529523622784149eb7cf964a6383ab496bb6001ee
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