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
Download config.json from PM-AI/paraphrase-distilroberta-base-v2_de-en: direct link, hf CLI and curl.
- Browser
- Download file 731 Bytes
-
https://huggingface.co/PM-AI/paraphrase-distilroberta-base-v2_de-en/resolve/832e3d0938b30b229a5db21cde28de019e100cab/config.json
- Command line
-
hf download hf://PM-AI/paraphrase-distilroberta-base-v2_de-en@832e3d0938b30b229a5db21cde28de019e100cab/config.json
-
curl -L -o config.json https://huggingface.co/PM-AI/paraphrase-distilroberta-base-v2_de-en/resolve/832e3d0938b30b229a5db21cde28de019e100cab/config.json
731 Bytes
| { | |
| "_name_or_path": "models/paraphrase-distilroberta-base-v2_de-en/", | |
| "architectures": [ | |
| "XLMRobertaModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "xlm-roberta", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.16.2", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 250002 | |
| } | |