Instructions to use Nac31/runpod-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nac31/runpod-test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "Nac31/runpod-test") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-50/optimizer.pt from Nac31/runpod-test: direct link, hf CLI and curl.
- Browser
- Download file 27.4 MB
-
https://huggingface.co/Nac31/runpod-test/resolve/main/checkpoint-50/optimizer.pt
- Command line
-
hf download hf://Nac31/runpod-test/checkpoint-50/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Nac31/runpod-test/resolve/main/checkpoint-50/optimizer.pt
27.4 MB
- Xet hash:
- 10f399a9a26ef0fcf0f2bd8cc912abc6834c473b0b27ffd555b641f161ccd8d5
- Size of remote file:
- 27.4 MB
- SHA256:
- 157a86344a5fa6a716c744a4e4147dbff607a2b5e6dd3a56e1469b62449f83a9
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