Feature Extraction
Safetensors
Model2Vec
sentence-transformers
code
distiller
code-search
code-embeddings
distillation
static-embeddings
tokenlearn
Instructions to use sarthak1/codemalt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use sarthak1/codemalt with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("sarthak1/codemalt") - sentence-transformers
How to use sarthak1/codemalt with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sarthak1/codemalt") 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
Sarthak commited on
Commit ·
a4beaf0
1
Parent(s): 7b072e5
chore: add initial CodeMap configuration file
Browse filesThis commit introduces the initial CodeMap configuration file, which sets up various parameters for the application's behavior. It includes settings for LLM integration, embedding models, RAG configuration, file synchronization, documentation generation, code processing, commit commands, and pull request handling. This file provides a centralized way to manage and customize CodeMap's functionalities.