Instructions to use Paladiso/4f5d8e92-2054-4cc6-a1ab-4fb678041d64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/4f5d8e92-2054-4cc6-a1ab-4fb678041d64 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "Paladiso/4f5d8e92-2054-4cc6-a1ab-4fb678041d64") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Paladiso/4f5d8e92-2054-4cc6-a1ab-4fb678041d64: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/Paladiso/4f5d8e92-2054-4cc6-a1ab-4fb678041d64/resolve/e6b10c4ad5d43e8d031a7b9f96715e093a7123f9/training_args.bin
- Command line
-
hf download hf://Paladiso/4f5d8e92-2054-4cc6-a1ab-4fb678041d64@e6b10c4ad5d43e8d031a7b9f96715e093a7123f9/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Paladiso/4f5d8e92-2054-4cc6-a1ab-4fb678041d64/resolve/e6b10c4ad5d43e8d031a7b9f96715e093a7123f9/training_args.bin
6.78 kB
- Xet hash:
- 4e67111003546313060018204dde8d626db716d0782bce5747a7fc9a8fefc490
- Size of remote file:
- 6.78 kB
- SHA256:
- c9d635a5f9b8434fb727666d9fe37d6d02e1d1ea838d504fec192b5f777bc55c
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