python-code-camp/Sentence-Similarity-with-Transformers-Step-by-Step-Guide-Using-Python
View on GitHub ↗Related repositories →This project offers a Python script for intent identification using sentence similarity with the HuggingFace Transformers library. It employs the pre-trained 'all-MiniLM-L6-v2' model for efficient chatbot response matching without requiring additional training.
active 2024-07-04 → 2024-07-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2024-07-04 to 2024-07-05. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| python-code-camp | 2 | 2 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.