Instructions to use Paladiso/924819d4-1505-4d42-89e1-3649945bc032 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/924819d4-1505-4d42-89e1-3649945bc032 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "Paladiso/924819d4-1505-4d42-89e1-3649945bc032") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from Paladiso/924819d4-1505-4d42-89e1-3649945bc032: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/Paladiso/924819d4-1505-4d42-89e1-3649945bc032/resolve/35c7cf99aba69dfd1d04d25abef46f86b0daee14/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://Paladiso/924819d4-1505-4d42-89e1-3649945bc032@35c7cf99aba69dfd1d04d25abef46f86b0daee14/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/Paladiso/924819d4-1505-4d42-89e1-3649945bc032/resolve/35c7cf99aba69dfd1d04d25abef46f86b0daee14/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 9acde80a8ef3666c899ab5b0e03305014536962dcf0e6dc9e0db949111ea97e7
- Size of remote file:
- 14.2 kB
- SHA256:
- c12066a9c624fe38430ff3feea2dc6451e9f1a920255c11680c737a33d2c53a0
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