Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
Safetensors
Transformers
roberta
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/distilroberta-base-paraphrase-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/distilroberta-base-paraphrase-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/distilroberta-base-paraphrase-v1") 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/distilroberta-base-paraphrase-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/distilroberta-base-paraphrase-v1") model = AutoModel.from_pretrained("sentence-transformers/distilroberta-base-paraphrase-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Joao Gante commited on
Commit ·
0191e44
1
Parent(s): 8422fe2
Add TF weights
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:2378d04662ff468348b8ad0920aeb918a65740b7e4c4cde5242b6bd4747ecca5
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size 328616920
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