Instructions to use trapoom555/MiniCPM-2B-Text-Embedding-cft-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trapoom555/MiniCPM-2B-Text-Embedding-cft-checkpoints with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trapoom555/MiniCPM-2B-Text-Embedding-cft-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
0ac335a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c506e22e77e2cbebfc5cc094ca912b0f34562cb90a59703aabccd84045bda36d
size 4984
|