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
| { | |
| "word_embedding_dimension": 768, | |
| "pooling_mode_cls_token": true, | |
| "pooling_mode_mean_tokens": false, | |
| "pooling_mode_max_tokens": false, | |
| "pooling_mode_mean_sqrt_len_tokens": false, | |
| "pooling_mode_weightedmean_tokens": false, | |
| "pooling_mode_lasttoken": false, | |
| "include_prompt": true | |
| } |