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
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### Downstream Use
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* Fuse with SGP4 for full position forecasting
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* Embed in on-board autonomy stacks
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* Pre-prompted agent in secure
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### Out-of-Scope Use
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### Downstream Use
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* Fuse with SGP4 for full position forecasting
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* Embed in on-board autonomy stacks
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* Pre-prompted agent in secure pipelines
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### Out-of-Scope Use
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