Sentence Similarity
sentence-transformers
Safetensors
bert
embeddings
cross-lingual
multilingual
igbo
hausa
yoruba
information-retrieval
semantic-search
text-embeddings-inference
Instructions to use Modularcomputing/Native-Bird with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Modularcomputing/Native-Bird with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Modularcomputing/Native-Bird") 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 results.json from Modularcomputing/Native-Bird: direct link, hf CLI and curl.
- Browser
- Download file 897 Bytes
-
https://huggingface.co/Modularcomputing/Native-Bird/resolve/main/results.json
- Command line
-
hf download hf://Modularcomputing/Native-Bird/results.json
-
curl -L -o results.json https://huggingface.co/Modularcomputing/Native-Bird/resolve/main/results.json
897 Bytes
| { | |
| "baseline": { | |
| "ig/clean": { | |
| "R@1": 1.0, | |
| "R@10": 1.0, | |
| "MRR": 1.0 | |
| }, | |
| "ig/asr_noise": { | |
| "R@1": 0.9853, | |
| "R@10": 0.9951, | |
| "MRR": 0.9888 | |
| }, | |
| "ha/clean": { | |
| "R@1": 1.0, | |
| "R@10": 1.0, | |
| "MRR": 1.0 | |
| }, | |
| "ha/asr_noise": { | |
| "R@1": 0.9951, | |
| "R@10": 1.0, | |
| "MRR": 0.9975 | |
| }, | |
| "yo/clean": { | |
| "R@1": 0.9804, | |
| "R@10": 1.0, | |
| "MRR": 0.9871 | |
| }, | |
| "yo/asr_noise": { | |
| "R@1": 0.9559, | |
| "R@10": 0.9951, | |
| "MRR": 0.9683 | |
| } | |
| }, | |
| "finetuned": { | |
| "ig/clean": { | |
| "R@1": 1.0, | |
| "R@10": 1.0, | |
| "MRR": 1.0 | |
| }, | |
| "ig/asr_noise": { | |
| "R@1": 1.0, | |
| "R@10": 1.0, | |
| "MRR": 1.0 | |
| }, | |
| "ha/clean": { | |
| "R@1": 1.0, | |
| "R@10": 1.0, | |
| "MRR": 1.0 | |
| }, | |
| "ha/asr_noise": { | |
| "R@1": 1.0, | |
| "R@10": 1.0, | |
| "MRR": 1.0 | |
| }, | |
| "yo/clean": { | |
| "R@1": 0.9804, | |
| "R@10": 1.0, | |
| "MRR": 0.9902 | |
| }, | |
| "yo/asr_noise": { | |
| "R@1": 0.9804, | |
| "R@10": 1.0, | |
| "MRR": 0.9867 | |
| } | |
| } | |
| } |