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/optimizer.pt from 1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35: direct link, hf CLI and curl.
- Browser
- Download file 114 kB
-
https://huggingface.co/1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35/resolve/main/last-checkpoint/optimizer.pt
114 kB
- Xet hash:
- db48b7affcc91988df59f20e6566efe11bcde102f795e93763138bea41e7193b
- Size of remote file:
- 114 kB
- SHA256:
- d0d4b37698dc8a10bbf53e57b1bbec0e33114c582cf404980970eda0735373e8
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