Instructions to use 1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111 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/a9c1a7eb-065e-49d8-ac54-bc355763b111") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state_1.pth from 1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111: direct link, hf CLI and curl.
- Browser
- Download file 15 kB
-
https://huggingface.co/1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111/resolve/main/last-checkpoint/rng_state_1.pth
- Command line
-
hf download hf://1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111/last-checkpoint/rng_state_1.pth
-
curl -L -o rng_state_1.pth https://huggingface.co/1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111/resolve/main/last-checkpoint/rng_state_1.pth
15 kB
- Xet hash:
- 2cfb7e5e6ede55ee44f7108d1ea7d55815b01609eebec46077257f84edaaf25f
- Size of remote file:
- 15 kB
- SHA256:
- 5749bd2dd9e766917af9578bb312b3ac884a430944ef4baca47569f063fdb5bc
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