Instructions to use kejian/improved-condition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/improved-condition with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/improved-condition") model = AutoModel.from_pretrained("kejian/improved-condition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-5000/optimizer.pt from kejian/improved-condition: direct link, hf CLI and curl.
- Browser
- Download file 888 MB
-
https://huggingface.co/kejian/improved-condition/resolve/main/checkpoint-5000/optimizer.pt
- Command line
-
hf download hf://kejian/improved-condition/checkpoint-5000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kejian/improved-condition/resolve/main/checkpoint-5000/optimizer.pt
888 MB
- Xet hash:
- ae94e6a017073288207149cb1a68a4ef4caa860ac61ced65d561da73ad86d072
- Size of remote file:
- 888 MB
- SHA256:
- 50fc5784fd1f160dbfcd6902e1e08130808c5eb43528104b627a0c6796d75169
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