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 pytorch_model.bin from PM-AI/sts_paraphrase_xlm-roberta-base_de-en: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/PM-AI/sts_paraphrase_xlm-roberta-base_de-en/resolve/accf7b600c2a7b7cf4ee1685e558c222982e2f1e/pytorch_model.bin
- Command line
-
hf download hf://PM-AI/sts_paraphrase_xlm-roberta-base_de-en@accf7b600c2a7b7cf4ee1685e558c222982e2f1e/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PM-AI/sts_paraphrase_xlm-roberta-base_de-en/resolve/accf7b600c2a7b7cf4ee1685e558c222982e2f1e/pytorch_model.bin
1.11 GB
- Xet hash:
- 6bf2179db25310b4e2af3c6ad9803089aa28029293adb7513dad7625f20a668c
- Size of remote file:
- 1.11 GB
- SHA256:
- f2b046af908f5ed9048b20d0f73c9351bd1e7feb67b8341a00e2837b0832cb28
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