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 tokenizer.json from PM-AI/sts_paraphrase_xlm-roberta-base_de-en: direct link, hf CLI and curl.
- Browser
- Download file 9.08 MB
-
https://huggingface.co/PM-AI/sts_paraphrase_xlm-roberta-base_de-en/resolve/main/tokenizer.json
- Command line
-
hf download hf://PM-AI/sts_paraphrase_xlm-roberta-base_de-en/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/PM-AI/sts_paraphrase_xlm-roberta-base_de-en/resolve/main/tokenizer.json
9.08 MB
- Xet hash:
- 1abe2a3a4ba10e2df7f07200b00d538c54245d88793ae9819ff762c8abb307bf
- Size of remote file:
- 9.08 MB
- SHA256:
- bb9b918c5b9eddf4c30e8c1e735f3adde8dd3dab7773015295008f289f50ead4
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