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
- Xet hash:
- 31d19fffde1c78260dd5b32b98e51dd8adefae216e6eefbcb299f56f4b977337
- Size of remote file:
- 11.4 MB
- SHA256:
- bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
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