Feature Extraction
sentence-transformers
Safetensors
Russian
qwen3_bidirec
embeddings
retrieval
fine-tuned
custom_code
Instructions to use GeorgeCU/Giga-Embeddings-instruct-480M-0826-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GeorgeCU/Giga-Embeddings-instruct-480M-0826-ft with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GeorgeCU/Giga-Embeddings-instruct-480M-0826-ft", trust_remote_code=True) 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] - Notebooks
- Google Colab
- Kaggle
GeorgeCU/Giga-Embeddings-instruct-480M-0826-ft
Fine-tuned ai-sage/Giga-Embeddings-instruct-480M-0826.
from sentence_transformers import SentenceTransformer
model = SentenceTransformer(
"GeorgeCU/Giga-Embeddings-instruct-480M-0826-ft",
trust_remote_code=True,
)
embeddings = model.encode(["text"], normalize_embeddings=True)
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Model tree for GeorgeCU/Giga-Embeddings-instruct-480M-0826-ft
Base model
ai-sage/Giga-Embeddings-instruct-480M-0826