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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-small-en") model = AutoModel.from_pretrained("BAAI/bge-small-en", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from BAAI/bge-small-en: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/BAAI/bge-small-en/resolve/main/tokenizer.json
- Command line
-
hf download hf://BAAI/bge-small-en/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/BAAI/bge-small-en/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.