Instructions to use rayonlabs/instructtestdiag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rayonlabs/instructtestdiag with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/b7447218-27e6-491c-b3ab-ea03a5b93541") model = PeftModel.from_pretrained(base_model, "rayonlabs/instructtestdiag") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-10/optimizer.pt from rayonlabs/instructtestdiag: direct link, hf CLI and curl.
- Browser
- Download file 11.7 MB
-
https://huggingface.co/rayonlabs/instructtestdiag/resolve/main/checkpoint-10/optimizer.pt
- Command line
-
hf download hf://rayonlabs/instructtestdiag/checkpoint-10/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/rayonlabs/instructtestdiag/resolve/main/checkpoint-10/optimizer.pt
11.7 MB
- Xet hash:
- 9b5dc032fa8c45a3eb42d809caee7f8bfc3c0f943163e78b2dbf46ddcd9c7407
- Size of remote file:
- 11.7 MB
- SHA256:
- dee2d6eeb6ffccb0715449a3b5fdb055f9c49feb43f1b134d4a32c6e40e7bac1
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