Feature Extraction
Transformers
PyTorch
Safetensors
English
bert
mteb
sentence transformers
Eval Results (legacy)
text-embeddings-inference
Instructions to use BAAI/bge-small-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/bge-small-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/bge-small-en")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-small-en") model = AutoModel.from_pretrained("BAAI/bge-small-en") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4
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:e3f93baaef0f082d01814223d65942241664d215849a5b76a95f9d390da379b6
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size 133466304
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