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
Download adapter_model.safetensors from Bmcbob76/echo-engineering-adapter: direct link, hf CLI and curl.
- Browser
- Download file 40.4 MB
-
https://huggingface.co/Bmcbob76/echo-engineering-adapter/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Bmcbob76/echo-engineering-adapter/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Bmcbob76/echo-engineering-adapter/resolve/main/adapter_model.safetensors
40.4 MB
- Xet hash:
- 46fd869e54c48476697917a8065263d484ec216860b98076fb39867f92d01ec3
- Size of remote file:
- 40.4 MB
- SHA256:
- 9713306a82fd69a32f4b79317b2ca1ebac86572f0a3a427499da214c50289c7c
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