Instructions to use kejian/cond-lovingly-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/cond-lovingly-50 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/cond-lovingly-50") model = AutoModel.from_pretrained("kejian/cond-lovingly-50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kejian/cond-lovingly-50: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/kejian/cond-lovingly-50/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kejian/cond-lovingly-50/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/cond-lovingly-50/resolve/main/pytorch_model.bin
457 MB
- Xet hash:
- 7093a3d50e0137545aaa0534fcb0716b50fbdaa61f45864ba7bb2f1642b70afe
- Size of remote file:
- 457 MB
- SHA256:
- 2df490c19d40ea9c9be1400c45bae03ff3c7d544388968b860378d7b441b15a4
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