Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
ONNX
Safetensors
OpenVINO
roberta
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/msmarco-roberta-base-ance-firstp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/msmarco-roberta-base-ance-firstp with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/msmarco-roberta-base-ance-firstp") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sentence-transformers/msmarco-roberta-base-ance-firstp: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/sentence-transformers/msmarco-roberta-base-ance-firstp/resolve/e9f9206d75e7bdcdcdae8cd733100fde4e68fd4f/pytorch_model.bin
- Command line
-
hf download hf://sentence-transformers/msmarco-roberta-base-ance-firstp@e9f9206d75e7bdcdcdae8cd733100fde4e68fd4f/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sentence-transformers/msmarco-roberta-base-ance-firstp/resolve/e9f9206d75e7bdcdcdae8cd733100fde4e68fd4f/pytorch_model.bin
499 MB
- Xet hash:
- d39cfd5174582c3e34cbdd2d91744c3ba3b54b441c05cc931a7b2baa59b74c99
- Size of remote file:
- 499 MB
- SHA256:
- b736c647336c9da98bd068176a2c34ab081519d2b053f4cf2dfcd7ac1344de98
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