Feature Extraction
sentence-transformers
Safetensors
English
xlm-roberta
retrieval
nuclear-physics
NSR
EXFOR
bge-m3
dense-retrieval
NSR-CPT
text-embeddings-inference
Instructions to use NYSgpt/nsr-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use NYSgpt/nsr-encoder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("NYSgpt/nsr-encoder") 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:
- 2ed7f5c2674641f1e49b9925e4baa8a623178b284075a2d2ccf7599c9a0893d2
- Size of remote file:
- 6.23 kB
- SHA256:
- c71c1a3ef4392e01d4406ce0020d1d5aafea3e82f73019fdeb10a6f2878a51a4
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