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 checkpoint-480/rng_state.pth from Bmcbob76/echo-engineering-adapter: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/Bmcbob76/echo-engineering-adapter/resolve/main/checkpoint-480/rng_state.pth
- Command line
-
hf download hf://Bmcbob76/echo-engineering-adapter/checkpoint-480/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/Bmcbob76/echo-engineering-adapter/resolve/main/checkpoint-480/rng_state.pth
14.2 kB
- Xet hash:
- c194bbb1b890f639b4af5746b0820fdb16010e7ff8761dfb181aa1d49755237b
- Size of remote file:
- 14.2 kB
- SHA256:
- 5831803b12bccf8fc9746af9af5ce3636a7c5e4e3ff1d9ca6c0b086515b63cc5
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