Feature Extraction
Transformers
TensorBoard
Safetensors
vision-text-dual-encoder
Generated from Trainer
Instructions to use Sarmst/siglip2-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sarmst/siglip2-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Sarmst/siglip2-bert")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Sarmst/siglip2-bert") model = AutoModel.from_pretrained("Sarmst/siglip2-bert") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.9749857187271118, | |
| "eval_runtime": 121.2478, | |
| "eval_samples_per_second": 8.248, | |
| "eval_steps_per_second": 1.031 | |
| } |