Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
Rust
ONNX
Safetensors
OpenVINO
Transformers
albert
feature-extraction
Instructions to use sentence-transformers/paraphrase-albert-small-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/paraphrase-albert-small-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/paraphrase-albert-small-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/paraphrase-albert-small-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/paraphrase-albert-small-v2") model = AutoModel.from_pretrained("sentence-transformers/paraphrase-albert-small-v2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
e31b7cd
1
Parent(s): ea50621
rust_weights (#1)
Browse files- Addition of Rust weights (570f4d5f7c0a1af88a8239ea3624d50522feb8ed)
Co-authored-by: Guillaume Becquin <guillaume-be@users.noreply.huggingface.co>
- rust_model.ot +3 -0
rust_model.ot
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version https://git-lfs.github.com/spec/v1
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oid sha256:c24ca54a1794d338ee78b8a9d0a6357bf3db8e0408d826fdf0ae20d1fdfed322
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size 46745679
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