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
Add new SentenceTransformer model with an openvino backend
#6 opened over 1 year ago
by
aliakseilabanau
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
by
SFconvertbot
is there a preprint?
1
#2 opened almost 3 years ago
by
MoritzLaurer
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot