Instructions to use aidandos/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aidandos/test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "aidandos/test") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1100/optimizer.pt from aidandos/test: direct link, hf CLI and curl.
- Browser
- Download file 13.8 MB
-
https://huggingface.co/aidandos/test/resolve/main/checkpoint-1100/optimizer.pt
- Command line
-
hf download hf://aidandos/test/checkpoint-1100/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/aidandos/test/resolve/main/checkpoint-1100/optimizer.pt
13.8 MB
- Xet hash:
- 86dbed0abffe2c66c1c760ad6d7697c0ea952e8547c9cb3a0abec965027fada5
- Size of remote file:
- 13.8 MB
- SHA256:
- 3380d9c93922c08d5e621f7966d59cb48df92dcc0c5f0b7ee79df2275c2fb47c
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