Instructions to use VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- 419022d7a1ddc3de07962a7d483afc0c47c4454d123afa632a100d114c8813cd
- Size of remote file:
- 6.78 kB
- SHA256:
- 2ba3a9cb69b7f5ab2076d073490cb2ee5943a37863b8f95f141867be079aca33
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