Instructions to use dschauhan08/MiniCPM5-1B-Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dschauhan08/MiniCPM5-1B-Checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dschauhan08/MiniCPM5-1B-Checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from dschauhan08/MiniCPM5-1B-Checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/dschauhan08/MiniCPM5-1B-Checkpoints/resolve/main/training_args.bin
- Command line
-
hf download hf://dschauhan08/MiniCPM5-1B-Checkpoints/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dschauhan08/MiniCPM5-1B-Checkpoints/resolve/main/training_args.bin
5.65 kB
- Xet hash:
- 67869f44db5a12d5723f36d71c0aef11aaf3bc340b5dff7b1e181e63b2473140
- Size of remote file:
- 5.65 kB
- SHA256:
- 5a9068b293be218e73dda49488d6d9ec5fe488c160ef06bf00e6d715e52c5590
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