How to use agraharr/telecom-gte-modernbert-matryoshka with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("agraharr/telecom-gte-modernbert-matryoshka") sentences = [ "How does the NG-RAN node respond after successfully activating UL SRS transmission in the UE?", "After successfully activating the UL SRS transmission in the UE, the NG-RAN node responds with a POS", "Table 6.1.1.1-6: Beam layout parameters for single satellite simulation", "The transmit OFF power limits are set at -35 dBm for various operating bands such as n257, n258, n25" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
The community tab is the place to discuss and collaborate with the HF community!
