Feature Extraction
Transformers
ONNX
Safetensors
yar
endpoints
embedding
retrieval
hyperbolic-geometry
matryoshka
custom_code
Instructions to use YARlabs/v5_Embedding_0.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YARlabs/v5_Embedding_0.5B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="YARlabs/v5_Embedding_0.5B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("YARlabs/v5_Embedding_0.5B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- v5_Embedding.onnx +3 -0
- v5_Embedding.onnx.data +3 -0
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