Text Retrieval
Transformers
Safetensors
sentence-transformers
English
kpr-bert
feature-extraction
custom_code
Instructions to use knowledgeable-ai/kpr-bge-base-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledgeable-ai/kpr-bge-base-en with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("knowledgeable-ai/kpr-bge-base-en", trust_remote_code=True, device_map="auto") - sentence-transformers
How to use knowledgeable-ai/kpr-bge-base-en with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("knowledgeable-ai/kpr-bge-base-en", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Download config.json from knowledgeable-ai/kpr-bge-base-en: direct link, hf CLI and curl.
- Browser
- Download file 1.13 kB
-
https://huggingface.co/knowledgeable-ai/kpr-bge-base-en/resolve/main/config.json
- Command line
-
hf download hf://knowledgeable-ai/kpr-bge-base-en/config.json
-
curl -L -o config.json https://huggingface.co/knowledgeable-ai/kpr-bge-base-en/resolve/main/config.json
1.13 kB
| { | |
| "architectures": [ | |
| "KPRModelForBert" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "auto_map": { | |
| "AutoConfig": "configuration.KPRConfigForBert", | |
| "AutoModel": "modeling.KPRModelForBert" | |
| }, | |
| "classifier_dropout": null, | |
| "entity_embedding_size": 768, | |
| "entity_fusion_activation": "sigmoid", | |
| "entity_fusion_method": "multihead_attention", | |
| "entity_vocab_size": null, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "LABEL_0" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "LABEL_0": 0 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "kpr-bert", | |
| "num_attention_heads": 12, | |
| "num_entity_fusion_attention_heads": 1, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "similarity_function": "cosine", | |
| "similarity_temperature": 0.02, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.55.4", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "use_entity_position_embeddings": true, | |
| "vocab_size": 30522 | |
| } | |