Instructions to use prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269: direct link, hf CLI and curl.
- Browser
- Download file 71.9 MB
-
https://huggingface.co/prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prxy5604/4fdca1f9-549b-4680-9c6e-b9098fe49269/resolve/main/last-checkpoint/optimizer.pt
71.9 MB
- Xet hash:
- ec9edc1865c342eb72f352d9978bf250885a3a85fd2e99987d23fb276467efdf
- Size of remote file:
- 71.9 MB
- SHA256:
- f40863b06497de1b0829b843a3f4f84b9b3a618491b593830fdd9ee6d1eb18f8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.