Instructions to use 1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48 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, "1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state_0.pth from 1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48: direct link, hf CLI and curl.
- Browser
- Download file 15 kB
-
https://huggingface.co/1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48/resolve/main/last-checkpoint/rng_state_0.pth
- Command line
-
hf download hf://1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48/last-checkpoint/rng_state_0.pth
-
curl -L -o rng_state_0.pth https://huggingface.co/1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48/resolve/main/last-checkpoint/rng_state_0.pth
15 kB
- Xet hash:
- f290f13f8b2736e2ed1e42feb880bb22cd5b019469ee65a12d8d87c128ab5d3e
- Size of remote file:
- 15 kB
- SHA256:
- 023e9792eb5061e03990ba0014f30f182cd7c49aaea96f5ce93f9b7fd3064e19
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