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:
- 9f7c74336d311919d4c8c8cc59801dd0cac977f1b43e70d1c13a77e0e054d41e
- Size of remote file:
- 12.7 MB
- SHA256:
- 81c3db73a1a34e38a22f0685a56a4750d96ec2c9c9ec60f4e424be7bd000f9a3
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