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Mpnet-base-ALL-NLI
ayoubkirouane/Mpnet-base-ALL-NLI
Mpnet-base-ALL-NLI is a feature extraction model from ayoubkirouane. Use it when you need embeddings to search or compare text. It is set up for sentence-transformers. The card lists the license as apache-2.0.
- microsoft/mpnet-base - sentence-transformers/all-nli
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At a glance
- Task
- Feature Extraction
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- mpnet
- Access
- Public
- Created
- Jun 2, 2024
- Updated
- Jun 2, 2024
- SHA
- 392adf90
Model card
From the Hugging Face model README
base_model:
- microsoft/mpnet-base
Dataset :
- sentence-transformers/all-nli
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("ayoubkirouane/Mpnet-base-ALL-NLI")
# Run inference
sentences = [
'a baby smiling',
'The boy is smiling',
'The girl is standing.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
- Task
- Feature Extraction
- Library
- sentence-transformers
- Type
- mpnet
- License
- apache-2.0
- Languages
- en
- Created
- Jun 2, 2024
- Updated
- Jun 2, 2024