Text Ranking
sentence-transformers
Safetensors
bert
cross-encoder
reranker
Generated from Trainer
dataset_size:2860
loss:BinaryCrossEntropyLoss
text-embeddings-inference
Instructions to use sofiakris/audit-match with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sofiakris/audit-match with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("sofiakris/audit-match") query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores) - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload 7 files
Verified signature909d646 -
Delete tokenizer_config.json
Verified signature46e6749 -
Delete tokenizer.json
Verified signaturecc48a56 -
Delete special_tokens_map.json
Verified signature2d96131 -
Delete model.safetensors
Verified signature789a919 -
Delete config.json
Verified signatureffca938 -
Delete README.md
Verified signature233f2e0 -
Delete vocab.txt
Verified signature0cdb509 -
Upload 7 files
Verified signature04510e3 -
Delete vocab.txt
Verified signature35c45db -
Delete tokenizer_config.json
Verified signaturede9928d -
Delete tokenizer.json
Verified signature1919a4c -
Delete special_tokens_map.json
Verified signaturecf09c5c -
Delete model.safetensors
Verified signature6a31304 -
Delete config.json
Verified signature642b737 -
Delete README.md
Verified signature25edddb
-
Upload 7 files
Verified signaturedff27b5 -
initial commit
Verified signature2db4aba