Instructions to use error577/47615d62-b7f3-4efd-b567-61a937215b9f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/47615d62-b7f3-4efd-b567-61a937215b9f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/5255b81c-a162-4f3a-9a96-f4d344cb99c8") model = PeftModel.from_pretrained(base_model, "error577/47615d62-b7f3-4efd-b567-61a937215b9f") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from error577/47615d62-b7f3-4efd-b567-61a937215b9f: direct link, hf CLI and curl.
- Browser
- Download file 195 MB
-
https://huggingface.co/error577/47615d62-b7f3-4efd-b567-61a937215b9f/resolve/97fcd3402f5ca24dd89b509a61e2c5d2a2622acb/adapter_model.safetensors
- Command line
-
hf download hf://error577/47615d62-b7f3-4efd-b567-61a937215b9f@97fcd3402f5ca24dd89b509a61e2c5d2a2622acb/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/error577/47615d62-b7f3-4efd-b567-61a937215b9f/resolve/97fcd3402f5ca24dd89b509a61e2c5d2a2622acb/adapter_model.safetensors
195 MB
- Xet hash:
- 7f44e0c5901eafd1abfc96044a82ead0907f7b88c45d5a975e07ea9e3df07909
- Size of remote file:
- 195 MB
- SHA256:
- 39add62f9e8b845270000e20a3ac457b2f968a6a4ecb250097bb4f67243655b5
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