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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#10
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3d6ccd1113e47c0051caa70d7393765c37854933210108f8b0b472cc02d0c3f
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size 1302134568
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