Text Generation
PEFT
Safetensors
LoRA
TLE
space-domain-awareness
trajectory-prediction
orbital-mechanics
conversational
Instructions to use jackal79/tle-orbit-explainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jackal79/tle-orbit-explainer with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-7B") model = PeftModel.from_pretrained(base_model, "jackal79/tle-orbit-explainer") - Notebooks
- Google Colab
- Kaggle
| TLE-Orbit-NonCommercial License v1.0 | |
| You are free to: | |
| - Use, copy, modify, and share this model for non-commercial research and internal evaluation | |
| - Publish work that uses or builds on this model, with attribution | |
| You may NOT: | |
| - Use this model or its outputs in commercial products or services | |
| - Deploy this model in operational systems without a commercial license | |
| Attribution: | |
| - You must retain attribution to the original author: Jack Al-Kahwati / Stardrive | |
| - You must include this license in any redistribution or derivative | |
| Commercial licensing: | |
| - For commercial, for-profit, or operational use, contact: jack@thestardrive.com | |
| No warranty is provided. | |