Instructions to use Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("numind/NuExtract-v1.5") model = PeftModel.from_pretrained(base_model, "Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5: direct link, hf CLI and curl.
- Browser
- Download file 50.4 MB
-
https://huggingface.co/Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Paladiso/6a2139b5-d27e-477f-8b4a-9be9f04e75b5/resolve/main/adapter_model.safetensors
50.4 MB
- Xet hash:
- 887a2ffc36140eda53ab6719507cf541172357a7ee087ec04e713da4d268206b
- Size of remote file:
- 50.4 MB
- SHA256:
- 53e03407cc96479131f9b6ef39b4c6b05c6a43cca48497a2bada05aecc91600c
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