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 config_sentence_transformers.json from deepvk/USER-base: direct link, hf CLI and curl.
- Browser
- Download file 232 Bytes
-
https://huggingface.co/deepvk/USER-base/resolve/65d4316c67d0d019e8bbd3bf80216e785bd771d2/config_sentence_transformers.json
- Command line
-
hf download hf://deepvk/USER-base@65d4316c67d0d019e8bbd3bf80216e785bd771d2/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/deepvk/USER-base/resolve/65d4316c67d0d019e8bbd3bf80216e785bd771d2/config_sentence_transformers.json
232 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "2.5.1", | |
| "transformers": "4.38.2", | |
| "pytorch": "2.2.0a0+81ea7a4" | |
| }, | |
| "prompts": { | |
| "query": "query: ", | |
| "passage": "passage: " | |
| }, | |
| "default_prompt_name": "query" | |
| } |