Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
JAX
ONNX
Safetensors
OpenVINO
Transformers
roberta
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/msmarco-distilroberta-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/msmarco-distilroberta-base-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/msmarco-distilroberta-base-v2") 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] - Transformers
How to use sentence-transformers/msmarco-distilroberta-base-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/msmarco-distilroberta-base-v2") model = AutoModel.from_pretrained("sentence-transformers/msmarco-distilroberta-base-v2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sentence-transformers/msmarco-distilroberta-base-v2: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/sentence-transformers/msmarco-distilroberta-base-v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sentence-transformers/msmarco-distilroberta-base-v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sentence-transformers/msmarco-distilroberta-base-v2/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- d63ed638d3e1edc61c87875bbd9e064cb0a9743cc5f0e21f27a07ddbec5f4f2f
- Size of remote file:
- 329 MB
- SHA256:
- 287f1deba2b7737731981f72ecba16ad92cea0d8ded916b99ee5808617fa57af
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