Instructions to use kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c 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, "kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kooff11/4ce67d7b-5d38-4a11-9c04-e65e3b77534c/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- 21940ce9e60b1341c57619f17ccd819263c118512102ff99aa15fe51e1adee53
- Size of remote file:
- 6.78 kB
- SHA256:
- 292ae1ce0e89f14e80c3c7fdc83224d6c016c90f5aae0663db19b9ecbb571bff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.