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
File size: 312 Bytes
5e173be | 1 2 3 4 5 6 7 8 9 10 | {
"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
} |