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
Download .python-version from sarthak1/codemalt: direct link, hf CLI and curl.
- Browser
- Download file 5 Bytes
-
https://huggingface.co/sarthak1/codemalt/resolve/main/.python-version
- Command line
-
hf download hf://sarthak1/codemalt/.python-version
-
curl -L -o .python-version https://huggingface.co/sarthak1/codemalt/resolve/main/.python-version
5 Bytes
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