Instructions to use lier007/xiaobu-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lier007/xiaobu-embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lier007/xiaobu-embedding")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lier007/xiaobu-embedding") model = AutoModel.from_pretrained("lier007/xiaobu-embedding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bbc86bf5c0eaafe74781602227fd435dde46c49adb2f711eb0bb7df972a4290
- Size of remote file:
- 1.3 GB
- SHA256:
- 8fd1e81e069dadb0469f24dd048b5778e6ab9d3ac79253514550ae0b1125bb08
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