Instructions to use openbmb/MiniCPM-2B-sft-bf16-llama-format with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-2B-sft-bf16-llama-format with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-2B-sft-bf16-llama-format", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 821de07e58892da0d17d0dd1c2dfe82bfbcd13d2cdb28e214ac8ddda8638a065
- Size of remote file:
- 6.02 GB
- SHA256:
- 0e78857a5deda76cd16ef866322f0dc4a0bdfbe41864c6ebadbe3c0d591bf955
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