Zero-Shot Classification
Transformers
Safetensors
glance_gemma
feature-extraction
glance
statement-tuning
multimodal
image-text-matching
custom_code
Instructions to use stefra/embeddinggemma2-glance-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stefra/embeddinggemma2-glance-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="stefra/embeddinggemma2-glance-v1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stefra/embeddinggemma2-glance-v1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K