Instructions to use duyphu/7a756b67-4517-44e5-816c-210c1c002eb7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/7a756b67-4517-44e5-816c-210c1c002eb7 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, "duyphu/7a756b67-4517-44e5-816c-210c1c002eb7") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from duyphu/7a756b67-4517-44e5-816c-210c1c002eb7: direct link, hf CLI and curl.
- Browser
- Download file 39.4 kB
-
https://huggingface.co/duyphu/7a756b67-4517-44e5-816c-210c1c002eb7/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://duyphu/7a756b67-4517-44e5-816c-210c1c002eb7/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/duyphu/7a756b67-4517-44e5-816c-210c1c002eb7/resolve/main/last-checkpoint/optimizer.pt
39.4 kB
- Xet hash:
- a86329daa453e63d3b1957d8fe92078acdc28b3420ac6c49301f4233a094dfa8
- Size of remote file:
- 39.4 kB
- SHA256:
- b0df0954b39bc834ee3c4e8d8f1731f5f4597c6da823eb5674e7ee25a11bcbfd
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