Feature Extraction
Transformers
PyTorch
Safetensors
English
bert
mteb
sentence-transfomres
Eval Results (legacy)
text-embeddings-inference
Instructions to use BAAI/bge-large-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/bge-large-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/bge-large-en")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-large-en") model = AutoModel.from_pretrained("BAAI/bge-large-en") - Inference
- Notebooks
- Google Colab
- Kaggle
Github and PIP links not working
#1
by vikas-prasad - opened
I can't find this model on github. Also I saw pip install FlagEmbedding and searched it on pip, but couldn't find there too. Am I missing something? Specially given that it's on #1 on the leaderboard.
Sorry, the GitHub repo is private now, but we will make it public today.
The FlagEmbedding is in https://pypi.org/project/FlagEmbedding/.
The GitHub repo is public now. And if you cannot install it by pip, you can install it from the source following https://github.com/FlagOpen/FlagEmbedding/blob/master/FlagEmbedding/baai_general_embedding/README.md#installation