Feature Extraction
Transformers
Safetensors
English
bert_retriever
bert
dense-retrieval
semantic-search
information-retrieval
ms-marco
faiss
retrieval
Instructions to use Innovatewithapple/bert-dense-retriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Innovatewithapple/bert-dense-retriever with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Innovatewithapple/bert-dense-retriever")# Load model directly from transformers import BertRetriever model = BertRetriever.from_pretrained("Innovatewithapple/bert-dense-retriever", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "BertRetriever" | |
| ], | |
| "backbone_name": "bert-base-uncased", | |
| "dropout": 0.2, | |
| "dtype": "float32", | |
| "hidden_size": 768, | |
| "model_type": "bert_retriever", | |
| "transformers_version": "4.57.6" | |
| } | |