Instructions to use Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("katuni4ka/tiny-random-olmo-hf") model = PeftModel.from_pretrained(base_model, "Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a: direct link, hf CLI and curl.
- Browser
- Download file 88.2 kB
-
https://huggingface.co/Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a/resolve/bbd71be4efa30e95f22c64dd327396413459b0b4/adapter_model.bin
- Command line
-
hf download hf://Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a@bbd71be4efa30e95f22c64dd327396413459b0b4/adapter_model.bin
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curl -L -o adapter_model.bin https://huggingface.co/Paladiso/0c6c9df4-71bb-4138-9f19-cb71e610e37a/resolve/bbd71be4efa30e95f22c64dd327396413459b0b4/adapter_model.bin
88.2 kB
- Xet hash:
- a736e9b06867ad962f7f2972788cc510d621c2ee26824dad0f851cb7b303b34f
- Size of remote file:
- 88.2 kB
- SHA256:
- cbe02cb94ec2f20bb5ad91c739f1d21ea4977bc8590d6428c489645ec963a764
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