Instructions to use daniel40/8d6e9e4f-e643-4ede-b786-082adcd7c58a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/8d6e9e4f-e643-4ede-b786-082adcd7c58a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "daniel40/8d6e9e4f-e643-4ede-b786-082adcd7c58a") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from daniel40/8d6e9e4f-e643-4ede-b786-082adcd7c58a: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/daniel40/8d6e9e4f-e643-4ede-b786-082adcd7c58a/resolve/8138aa4075f44857dadb189ad02222f1d3a0098e/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://daniel40/8d6e9e4f-e643-4ede-b786-082adcd7c58a@8138aa4075f44857dadb189ad02222f1d3a0098e/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/daniel40/8d6e9e4f-e643-4ede-b786-082adcd7c58a/resolve/8138aa4075f44857dadb189ad02222f1d3a0098e/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- 334c8872e647e55dcb3cd5ce4f8f681f936e93ec4845e4042837c5d00cc9ab1b
- Size of remote file:
- 1.06 kB
- SHA256:
- 28418a35cb7e15ebbce37743b08fd366c25ee320167b307a3e449a74781d02de
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