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:
# pip install -U transformers accelerate # 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
Download spiece.model from sentence-transformers/paraphrase-albert-small-v2: direct link, hf CLI and curl.
- Browser
- Download file 760 kB
-
https://huggingface.co/sentence-transformers/paraphrase-albert-small-v2/resolve/main/spiece.model
- Command line
-
hf download hf://sentence-transformers/paraphrase-albert-small-v2/spiece.model
-
curl -L -o spiece.model https://huggingface.co/sentence-transformers/paraphrase-albert-small-v2/resolve/main/spiece.model
760 kB
- Xet hash:
- 555f23db1f24d7d57fbdd8a2683a72c22c0e687314fd1c2a55e2e4635c14ffee
- Size of remote file:
- 760 kB
- SHA256:
- fefb02b667a6c5c2fe27602d28e5fb3428f66ab89c7d6f388e7c8d44a02d0336
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