Feature Extraction
Transformers
Safetensors
lagrange_flash
custom-code
mathematics
physics
mechanistic-interpretability
program-synthesis
research
custom_code
Instructions to use FlaneAI/LaGrange-1.0-Flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlaneAI/LaGrange-1.0-Flash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="FlaneAI/LaGrange-1.0-Flash", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FlaneAI/LaGrange-1.0-Flash", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!