Feature Extraction
Transformers
PyTorch
ONNX
bert
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use andersonbcdefg/bge-small-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andersonbcdefg/bge-small-4096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="andersonbcdefg/bge-small-4096")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("andersonbcdefg/bge-small-4096") model = AutoModel.from_pretrained("andersonbcdefg/bge-small-4096") - Notebooks
- Google Colab
- Kaggle
Missing Readme
#2 opened over 1 year ago
by
kardosdrur
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot