Instructions to use kejian/debug-pt-conditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/debug-pt-conditional with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/debug-pt-conditional") model = AutoModel.from_pretrained("kejian/debug-pt-conditional", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-10/optimizer.pt from kejian/debug-pt-conditional: direct link, hf CLI and curl.
- Browser
- Download file 888 MB
-
https://huggingface.co/kejian/debug-pt-conditional/resolve/main/checkpoint-10/optimizer.pt
- Command line
-
hf download hf://kejian/debug-pt-conditional/checkpoint-10/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kejian/debug-pt-conditional/resolve/main/checkpoint-10/optimizer.pt
888 MB
- Xet hash:
- 7553389e16e3aa534844b596bc18cd58cccfe79c6265a2e7d1f16f3c105b6bfa
- Size of remote file:
- 888 MB
- SHA256:
- d1c4794fd0d8d0496a3090cf4a475aa399ac5de0d998858f48a3c5121efee025
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