Instructions to use Pixedar/private with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pixedar/private with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Pixedar/private") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from Pixedar/private: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/Pixedar/private/resolve/main/scheduler.pt
- Command line
-
hf download hf://Pixedar/private/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/Pixedar/private/resolve/main/scheduler.pt
1.06 kB
- Xet hash:
- a493764c3cf36fdac30f4a9b4e48950fceb99a1b84df6a0cb92af42999194634
- Size of remote file:
- 1.06 kB
- SHA256:
- 91bd49c353985058ef4bcbfc7bb42203c4864a057eb3f7be4c5f04f0e620bc2e
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