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:
- a684a94c86614814262753558a0ed405540eeae5d5e5e336856641fe43206e0a
- Size of remote file:
- 1.06 kB
- SHA256:
- 807691c398bd33edd684a65bed5e9a8feb46561cddd3d98233e45ddb285c85ee
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