Sentence Similarity
sentence-transformers
Safetensors
nomic_bert
code-search
mteb
custom_code
text-embeddings-inference
Instructions to use madhurr382/coderankembed-apps-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use madhurr382/coderankembed-apps-ft with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("madhurr382/coderankembed-apps-ft", trust_remote_code=True) sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from madhurr382/coderankembed-apps-ft: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/madhurr382/coderankembed-apps-ft/resolve/main/tokenizer.json
- Command line
-
hf download hf://madhurr382/coderankembed-apps-ft/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/madhurr382/coderankembed-apps-ft/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.