Instructions to use Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-7b-v1.3") model = PeftModel.from_pretrained(base_model, "Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5: direct link, hf CLI and curl.
- Browser
- Download file 41.1 MB
-
https://huggingface.co/Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Paladiso/66034ee5-a54d-46e2-b0b2-b10a4d504ab5/resolve/main/last-checkpoint/optimizer.pt
41.1 MB
- Xet hash:
- d46c2e579c47c623a5a74a9e9bb8ef474b94f2df940ad71434426466c362868f
- Size of remote file:
- 41.1 MB
- SHA256:
- 3a3fdf5be4d9aa506acd4039b4ca78481824c70401201e58bc8dd803fb1776ab
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