Instructions to use tarabukinivan/52961e26-ae89-4cf4-90eb-76e848f71e41 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/52961e26-ae89-4cf4-90eb-76e848f71e41 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, "tarabukinivan/52961e26-ae89-4cf4-90eb-76e848f71e41") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from tarabukinivan/52961e26-ae89-4cf4-90eb-76e848f71e41: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/tarabukinivan/52961e26-ae89-4cf4-90eb-76e848f71e41/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://tarabukinivan/52961e26-ae89-4cf4-90eb-76e848f71e41/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/tarabukinivan/52961e26-ae89-4cf4-90eb-76e848f71e41/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 0bfc4499a0c9e7a7ed2e892d92092678fcd69e64f05af7dc358d587a248cd05f
- Size of remote file:
- 14.2 kB
- SHA256:
- 57f2b40cabecac25d6ead92084e4a2d9f174ecd0946ff038aca8017b8011bd67
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