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
Commit History
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Update model card: add pipeline tag, library name, and code link
Verified signatureThis PR improves the model card for Critic-Embed by: - Updating the `pipeline_tag` to `text-retrieval` to better represent its functionality. - Adding `library_name: sentence-transformers` to 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.e69dc94
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Update README.md
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Upload folder using huggingface_hub
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initial commit
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