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
- Xet hash:
- 9088ef715fefba61be27b341d4c246364962a9aeb4642919e61f433b04d0a0e6
- Size of remote file:
- 1.74 GB
- SHA256:
- 8dafe144c01cf31db036fd58bd0e0bbb0ce8a3019f5d00bfe31db1d0f78d4ffd
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