Instructions to use Paladiso/bb73a8ba-f2ad-4dad-a9e7-46da888461bc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/bb73a8ba-f2ad-4dad-a9e7-46da888461bc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/d06bfecd-ea82-4f80-8b9f-98631e6886ba") model = PeftModel.from_pretrained(base_model, "Paladiso/bb73a8ba-f2ad-4dad-a9e7-46da888461bc") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from Paladiso/bb73a8ba-f2ad-4dad-a9e7-46da888461bc: direct link, hf CLI and curl.
- Browser
- Download file 26.6 MB
-
https://huggingface.co/Paladiso/bb73a8ba-f2ad-4dad-a9e7-46da888461bc/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://Paladiso/bb73a8ba-f2ad-4dad-a9e7-46da888461bc/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Paladiso/bb73a8ba-f2ad-4dad-a9e7-46da888461bc/resolve/main/last-checkpoint/optimizer.pt
26.6 MB
- Xet hash:
- 5ca53055c4bc363b1b5ba4cb5617b5636acb6e0ce6ac2ff71a2dbf3885901f08
- Size of remote file:
- 26.6 MB
- SHA256:
- a9a771e22dab2c6781a5f0c7fa561fead45cecfcdd280ad150ef0f32d62bc83b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.