Sentence Similarity
sentence-transformers
Safetensors
feature-extraction
Generated from Trainer
dataset_size:245133
loss:MultipleNegativesRankingLoss
loss:MultipleNegativesSymmetricRankingLoss
loss:CoSENTLoss
Instructions to use FINGU-AI/FinguEm7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use FINGU-AI/FinguEm7b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("FINGU-AI/FinguEm7b") sentences = [ "Awbere (woreda)", "Counterfeit Son is a 2000 novel by Elaine Marie Alphin and was written for young adults . It received a 2001 Edgar Award from the Mystery Writers of America for Best Young Adult Mystery . It is a psychological thriller .", "Awbere ( Awbarre ) , ( also known as Teferi Ber ) , is one of the woredas in the Somali Region of Ethiopia . Part of the Jijiga Zone , Awbere is bordered on the southwest by Jijiga , on the west by the Shinile Zone , on the east by Somalia , and on the southeast by Kebri Beyah . Towns in Awbere include Āwuberē , Derwonaji , Lefe Isa , and Sheed Dheer . High points in this woreda include Sau ( 1863 meters ) , near the international border .", "Aleksandra Delcheva (Bulgarian: Александра Делчева) (born April 11, 1987) is a Bulgarian volleyball player. She currently plays for Union Stade Français-Saint-Cloud Paris in France." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| { | |
| "alpha_pattern": {}, | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "Alibaba-NLP/gte-Qwen2-7B-instruct", | |
| "bias": "none", | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "init_lora_weights": true, | |
| "layer_replication": null, | |
| "layers_pattern": null, | |
| "layers_to_transform": null, | |
| "loftq_config": {}, | |
| "lora_alpha": 16, | |
| "lora_dropout": 0.1, | |
| "megatron_config": null, | |
| "megatron_core": "megatron.core", | |
| "modules_to_save": null, | |
| "peft_type": "LORA", | |
| "r": 16, | |
| "rank_pattern": {}, | |
| "revision": null, | |
| "target_modules": [ | |
| "q_proj", | |
| "v_proj", | |
| "k_proj", | |
| "o_proj" | |
| ], | |
| "task_type": "FEATURE_EXTRACTION", | |
| "use_dora": false, | |
| "use_rslora": false | |
| } |