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_3.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_3.pth
- Command line
-
hf download hf://1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111/last-checkpoint/rng_state_3.pth
-
curl -L -o rng_state_3.pth https://huggingface.co/1-lock/a9c1a7eb-065e-49d8-ac54-bc355763b111/resolve/main/last-checkpoint/rng_state_3.pth
15 kB
- Xet hash:
- 934c2466b923d6a33413758d0bbeac46d4b66742d23cbb9173215b6b471458d8
- Size of remote file:
- 15 kB
- SHA256:
- 8a9d6aaabb19513c5c1ab11259b48c75f3755a3448975452a6ca5e985b996e29
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