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
- Xet hash:
- c045125a7f2e17fe2d0833b3e323e9b64eef18090ba1091b34b7e8f3175e1473
- Size of remote file:
- 332 kB
- SHA256:
- a33891fe31bbedeccc79285ca691b47576d31e12035d71a17f4f2b025b033104
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