Feature Extraction
Transformers
multilingual
axera
ax650
embeddings
retrieval
clustering
multimodal
image
audio
video
Instructions to use AXERA-TECH/jina-embeddings-v5-omni-nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/jina-embeddings-v5-omni-nano with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AXERA-TECH/jina-embeddings-v5-omni-nano")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/jina-embeddings-v5-omni-nano", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e55ee63291ff4e69d87fc6fa32c43bfa90711e6e04fec69f6855adbbec751e4
- Size of remote file:
- 12.8 MB
- SHA256:
- 79301d443d1b9f9b00516eae2d98d0b0115a133d4e8833cfc60a9344454a748c
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