Feature Extraction
Transformers
Safetensors
new
word-alignment
sentence-alignment
custom_code
text-embeddings-inference
Instructions to use WPS-Qingqiu/OmniAlign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WPS-Qingqiu/OmniAlign with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="WPS-Qingqiu/OmniAlign", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WPS-Qingqiu/OmniAlign", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78559af197c6a90282a46eecb6757ea90d15217f795bfb42bed4d07aa4894887
- Size of remote file:
- 17.1 MB
- SHA256:
- dc46f148563a56dd6957c9de00c75d7291c668addda079db7156da4f56060bd1
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