Feature Extraction
sentence-transformers
Safetensors
Transformers
Russian
English
t5
mteb
Eval Results (legacy)
Instructions to use LeoCristt/hackathon-embedding-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LeoCristt/hackathon-embedding-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LeoCristt/hackathon-embedding-model") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use LeoCristt/hackathon-embedding-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LeoCristt/hackathon-embedding-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("LeoCristt/hackathon-embedding-model") model = AutoModel.from_pretrained("LeoCristt/hackathon-embedding-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from LeoCristt/hackathon-embedding-model: direct link, hf CLI and curl.
- Browser
- Download file 609 Bytes
-
https://huggingface.co/LeoCristt/hackathon-embedding-model/resolve/c741c3864ca6221e915d0df999f6377e9eedeca5/config_sentence_transformers.json
- Command line
-
hf download hf://LeoCristt/hackathon-embedding-model@c741c3864ca6221e915d0df999f6377e9eedeca5/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/LeoCristt/hackathon-embedding-model/resolve/c741c3864ca6221e915d0df999f6377e9eedeca5/config_sentence_transformers.json
609 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "5.1.0", | |
| "transformers": "4.57.0", | |
| "pytorch": "2.6.0+cu126" | |
| }, | |
| "prompts": { | |
| "query": "", | |
| "document": "", | |
| "paraphrase": "paraphrase: ", | |
| "search_query": "search_query: ", | |
| "search_document": "search_document: ", | |
| "categorize": "categorize: ", | |
| "categorize_sentiment": "categorize_sentiment: ", | |
| "categorize_topic": "categorize_topic: ", | |
| "categorize_entailment": "categorize_entailment: " | |
| }, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": "cosine", | |
| "model_type": "SentenceTransformer" | |
| } |