Text Generation
PEFT
Safetensors
English
lora
qwen2
echo-omega-prime
engineering
structural-analysis
mechanical
materials
design
conversational
Instructions to use Bmcbob76/echo-engineering-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Bmcbob76/echo-engineering-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Bmcbob76/echo-engineering-adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fbc3aa6570d19cd72859967c2e013cb7b4b5d5246f5374d86b828134b68622f
- Size of remote file:
- 5.5 kB
- SHA256:
- 5f357cc166277dc981f344fc16a30cc69776d7ff3628dc8623d3c2b16570267f
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