Instructions to use kejian/mighty-conditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/mighty-conditional with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/mighty-conditional") model = AutoModel.from_pretrained("kejian/mighty-conditional", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/mighty-conditional: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/kejian/mighty-conditional/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/mighty-conditional/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/mighty-conditional/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- fa93105eff853e6686f3b440e1876af3697a7ff9e9bd69125e7809b65517a08c
- Size of remote file:
- 3.39 kB
- SHA256:
- cac9b83efa30408d2c89ea9bf8e51d2350323511eb23ee6e9ab1dbc4f8958cff
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