Instructions to use jatshi/StreamSense-Serve-v4-Router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jatshi/StreamSense-Serve-v4-Router with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jatshi/StreamSense-Serve-v4-Router") 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
File size: 1,910 Bytes
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"schema_version": 1,
"physical_cases_per_system": 32,
"independent_test_groups": 8,
"latency_comparable_across_systems": false,
"latency_note": "Observed wall latency is retained for execution audit only. ASR/OCR observations are memoized across systems in requested order, so later systems exclude analyzer work and their latency must not be compared with the first system.",
"systems": {
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"quality_pass_rate": 0.6875,
"state_accuracy": 0.71875,
"exact_state_accuracy": 0.6875,
"answer_fact_coverage": 0.96875,
"citation_validity": 0.875,
"mean_answer_char_f1": 0.6598538614163614,
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"text_answer_backend_call_rate": 1.0,
"backend_calls_per_case": 2.0,
"mean_observed_wall_latency_ms": 2576.251625374425,
"backend_call_savings_vs_always": 0.0
},
"learned": {
"cases": 32,
"quality_pass_rate": 0.65625,
"state_accuracy": 0.6875,
"exact_state_accuracy": 0.6875,
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"citation_validity": 0.84375,
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"visual_backend_call_rate": 0.90625,
"text_answer_backend_call_rate": 1.0,
"backend_calls_per_case": 1.90625,
"mean_observed_wall_latency_ms": 12376.805822888855,
"backend_call_savings_vs_always": 0.046875
},
"never_vlm": {
"cases": 32,
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"state_accuracy": 0.8125,
"exact_state_accuracy": 0.8125,
"answer_fact_coverage": 0.96875,
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"mean_answer_char_f1": 0.6423656732759995,
"visual_backend_call_rate": 0.0,
"text_answer_backend_call_rate": 1.0,
"backend_calls_per_case": 1.0,
"mean_observed_wall_latency_ms": 1510.641771601513,
"backend_call_savings_vs_always": 0.5
}
}
} |