Feature Extraction
sentence-transformers
PyTorch
Safetensors
Transformers
German
English
xlm-roberta
semantic textual similarity
sts
semantic search
sentence similarity
paraphrasing
documents retrieval
passage retrieval
information retrieval
sentence-transformer
text-embeddings-inference
Instructions to use PM-AI/paraphrase-distilroberta-base-v2_de-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use PM-AI/paraphrase-distilroberta-base-v2_de-en with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("PM-AI/paraphrase-distilroberta-base-v2_de-en") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use PM-AI/paraphrase-distilroberta-base-v2_de-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="PM-AI/paraphrase-distilroberta-base-v2_de-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("PM-AI/paraphrase-distilroberta-base-v2_de-en") model = AutoModel.from_pretrained("PM-AI/paraphrase-distilroberta-base-v2_de-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (832e3d0938b30b229a5db21cde28de019e100cab)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
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