Instructions to use havinash-ai/d72a532e-30dd-4e65-afb4-480183732f0a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/d72a532e-30dd-4e65-afb4-480183732f0a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "havinash-ai/d72a532e-30dd-4e65-afb4-480183732f0a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from havinash-ai/d72a532e-30dd-4e65-afb4-480183732f0a: direct link, hf CLI and curl.
- Browser
- Download file 26 kB
-
https://huggingface.co/havinash-ai/d72a532e-30dd-4e65-afb4-480183732f0a/resolve/f1d8b79f30add9c6fe9fd4e0b8b4bedad9dc9492/adapter_model.safetensors
- Command line
-
hf download hf://havinash-ai/d72a532e-30dd-4e65-afb4-480183732f0a@f1d8b79f30add9c6fe9fd4e0b8b4bedad9dc9492/adapter_model.safetensors
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curl -L -o adapter_model.safetensors https://huggingface.co/havinash-ai/d72a532e-30dd-4e65-afb4-480183732f0a/resolve/f1d8b79f30add9c6fe9fd4e0b8b4bedad9dc9492/adapter_model.safetensors
26 kB
- Xet hash:
- 213397243524af91473b95e3f60f5f15a9a1edcd982021aba05188b06e831a13
- Size of remote file:
- 26 kB
- SHA256:
- 9884b9c786aae4699e10cf282d40cb5f1c50e6f1cb2e8bd354d1213c172521ee
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