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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Request for Detailed Experimental Procedure For Spanish
#15
by wilfoderek - opened
I hope this message finds you well. I am currently working on a project that involves replicating your recent experiment. To ensure accuracy and clarity in the replication process, I kindly request that you provide a detailed description of the steps involved in your experiment, specifically translated into Spanish.
@wilfoderek , this model is only for english. If you want to process Spanish, you can refer to BAAI/bge-m3