Instructions to use VERSIL91/945f3d53-fafb-4b8e-ad1a-4b9b8db9ad3e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/945f3d53-fafb-4b8e-ad1a-4b9b8db9ad3e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "VERSIL91/945f3d53-fafb-4b8e-ad1a-4b9b8db9ad3e") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/945f3d53-fafb-4b8e-ad1a-4b9b8db9ad3e: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/945f3d53-fafb-4b8e-ad1a-4b9b8db9ad3e/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/945f3d53-fafb-4b8e-ad1a-4b9b8db9ad3e/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/945f3d53-fafb-4b8e-ad1a-4b9b8db9ad3e/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 8263fe3504aefc6702e81bab6b236b734f12028232934c473012f68757d4db9d
- Size of remote file:
- 6.78 kB
- SHA256:
- 9cc2ebaa26fe90503ee4579e3abcca7acc8e40baa4600bdc35d966a1ed3d1451
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