Text Generation
sentence-transformers
Indonesian
English
chatbot
retrieval
hybrid-search
bm25
tfidf
sbert
mpnet
use
fuzzy-matching
indonesian
english
conversational
context-aware
multilingual
caca
Eval Results (legacy)
Instructions to use Lyon28/Caca-Chatbot-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Lyon28/Caca-Chatbot-V2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Lyon28/Caca-Chatbot-V2") 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: 567 Bytes
5d023be | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"model_name": "CACA - Contextual Adaptive Conversational AI",
"version": "1.0.0",
"dataset": "Lyon28/Caca-Behavior",
"repo_name": "Lyon28/Caca-Chatbot-V2",
"techniques": {
"bm25": 0.12,
"tfidf": 0.1,
"sbert_mini": 0.15,
"sbert_mpnet": 0.2,
"use": 0.1,
"fuzzy": 0.1,
"jaccard": 0.05,
"ngram": 0.05,
"pattern": 0.08,
"keyword_boost": 0.05
},
"context": {
"enabled": true,
"max_history": 5,
"weight": 0.15
},
"multilang": {
"enabled": true,
"supported": [
"id",
"en"
]
}
} |