Instructions to use willtensora/0df264fc-91a8-4d3e-995d-be371e003f92 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use willtensora/0df264fc-91a8-4d3e-995d-be371e003f92 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, "willtensora/0df264fc-91a8-4d3e-995d-be371e003f92") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from willtensora/0df264fc-91a8-4d3e-995d-be371e003f92: direct link, hf CLI and curl.
- Browser
- Download file 39.4 kB
-
https://huggingface.co/willtensora/0df264fc-91a8-4d3e-995d-be371e003f92/resolve/5a60b3a0314c7d8af6eb8ea95d4f5f52ce5df666/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://willtensora/0df264fc-91a8-4d3e-995d-be371e003f92@5a60b3a0314c7d8af6eb8ea95d4f5f52ce5df666/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/willtensora/0df264fc-91a8-4d3e-995d-be371e003f92/resolve/5a60b3a0314c7d8af6eb8ea95d4f5f52ce5df666/last-checkpoint/optimizer.pt
39.4 kB
- Xet hash:
- 53711156ae368f84560a2a80462dcc1e1cd320a76cadbdc9136f34af4c311c4f
- Size of remote file:
- 39.4 kB
- SHA256:
- 39da7bbb586dfe4be8ed238e2bd5450bca27dcb95a407903ce4ac4b415e600d4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.