Sentence Similarity
Transformers
PyTorch
German
English
xlm-roberta
feature-extraction
semantic textual similarity
sts
semantic search
sentence similarity
paraphrasing
sentence-transformer
text-embeddings-inference
Instructions to use PM-AI/sts_paraphrase_xlm-roberta-base_de-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PM-AI/sts_paraphrase_xlm-roberta-base_de-en with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("PM-AI/sts_paraphrase_xlm-roberta-base_de-en") model = AutoModel.from_pretrained("PM-AI/sts_paraphrase_xlm-roberta-base_de-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from PM-AI/sts_paraphrase_xlm-roberta-base_de-en: direct link, hf CLI and curl.
- Browser
- Download file 118 Bytes
-
https://huggingface.co/PM-AI/sts_paraphrase_xlm-roberta-base_de-en/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://PM-AI/sts_paraphrase_xlm-roberta-base_de-en/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/PM-AI/sts_paraphrase_xlm-roberta-base_de-en/resolve/main/config_sentence_transformers.json
118 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "2.2.2", | |
| "transformers": "4.23.1", | |
| "pytorch": "1.12.1" | |
| } | |
| } |