Instructions to use 1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state_0.pth from 1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35: direct link, hf CLI and curl.
- Browser
- Download file 15 kB
-
https://huggingface.co/1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35/resolve/main/last-checkpoint/rng_state_0.pth
- Command line
-
hf download hf://1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35/last-checkpoint/rng_state_0.pth
-
curl -L -o rng_state_0.pth https://huggingface.co/1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35/resolve/main/last-checkpoint/rng_state_0.pth
15 kB
- Xet hash:
- 87e906e85717f1fe99032f526856b933f419eb849205f13cfc08038658d15cd4
- Size of remote file:
- 15 kB
- SHA256:
- cbed55ed9ec3a53dc4a32e6ff3e5dbe90225f97ca39fa446122055c3c57386b5
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