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: 223 Bytes
704d68e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | [
"halo",
"siapa",
"apa",
"bagaimana",
"kenapa",
"dimana",
"kapan",
"bisa",
"tolong",
"caranya",
"cara",
"gimana",
"kamu",
"saya",
"bantu",
"bantuan",
"help",
"terima kasih",
"thanks"
] |