Instructions to use deepvk/USER-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use deepvk/USER-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("deepvk/USER-base") sentences = [ "Это счастливый человек", "Это счастливая собака", "Это очень счастливый человек", "Сегодня солнечный день" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
Download sentence_bert_config.json from deepvk/USER-base: direct link, hf CLI and curl.
- Browser
- Download file 53 Bytes
-
https://huggingface.co/deepvk/USER-base/resolve/refs%2Fpr%2F1/sentence_bert_config.json
- Command line
-
hf download hf://deepvk/USER-base@refs/pr/1/sentence_bert_config.json
-
curl -L -o sentence_bert_config.json https://huggingface.co/deepvk/USER-base/resolve/refs%2Fpr%2F1/sentence_bert_config.json
53 Bytes
| { | |
| "max_seq_length": 512, | |
| "do_lower_case": false | |
| } |