Instructions to use kejian/cond-normandy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/cond-normandy with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/cond-normandy") model = AutoModel.from_pretrained("kejian/cond-normandy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kejian/cond-normandy: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/kejian/cond-normandy/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kejian/cond-normandy/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/cond-normandy/resolve/main/pytorch_model.bin
457 MB
- Xet hash:
- a32de198b4e5b631606e6474b365372c71c3df89237d7ff624c606941dde0cb4
- Size of remote file:
- 457 MB
- SHA256:
- ef490ac72167a29169ec599c6ea38ec27a6644f2d0b52df8d581f0c24121c976
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