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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- checkpoint-1000
- checkpoint-10000
- checkpoint-10500
- checkpoint-11000
- checkpoint-11500
- checkpoint-12000
- checkpoint-12500
- checkpoint-13000
- checkpoint-13500
- checkpoint-1500
- checkpoint-2000
- checkpoint-2500
- checkpoint-3000
- checkpoint-3500
- checkpoint-4000
- checkpoint-4500
- checkpoint-500
- checkpoint-5000
- checkpoint-5500
- checkpoint-6000
- checkpoint-6500
- checkpoint-7000
- checkpoint-7500
- checkpoint-8000
- checkpoint-8500
- checkpoint-9000
- checkpoint-9500
- 1.52 kB
- 344 Bytes