Text Retrieval
sentence-transformers
Safetensors
English
new
embeddings
agent
search
retriever
instruction-tuned retriever
agentic-search
custom_code
Instructions to use zarif98sjs/Critic-Embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use zarif98sjs/Critic-Embed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("zarif98sjs/Critic-Embed", trust_remote_code=True) 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
Update model card: add pipeline tag, library name, and code link
#1
by nielsr HF Staff - opened
This PR improves the model card for Critic-Embed by:
- Updating the
pipeline_tagtotext-retrievalto better represent its functionality. - Adding
library_name: sentence-transformersto the metadata to enable automated code snippets on the Hub. - Adding a link to the official GitHub repository.
- Maintaining the existing usage example and citation.
Thanks!
zarif98sjs changed pull request status to merged