Instructions to use trapoom555/MiniCPM-2B-Text-Embedding-cft 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 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trapoom555/MiniCPM-2B-Text-Embedding-cft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from trapoom555/MiniCPM-2B-Text-Embedding-cft: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/trapoom555/MiniCPM-2B-Text-Embedding-cft/resolve/main/training_args.bin
- Command line
-
hf download hf://trapoom555/MiniCPM-2B-Text-Embedding-cft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/trapoom555/MiniCPM-2B-Text-Embedding-cft/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 6d763547ee79f51419663b9a3192d535c9ce4f964e22c86c587ada3795b36481
- Size of remote file:
- 4.98 kB
- SHA256:
- c506e22e77e2cbebfc5cc094ca912b0f34562cb90a59703aabccd84045bda36d
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