Instructions to use Tngarg/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tngarg/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "Tngarg/outputs") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Tngarg/outputs: direct link, hf CLI and curl.
- Browser
- Download file 160 MB
-
https://huggingface.co/Tngarg/outputs/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Tngarg/outputs/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Tngarg/outputs/resolve/main/adapter_model.bin
160 MB
- Xet hash:
- e2dc5cec15068acd225fea55801d5fe43e0542ee5541a748e1fa71185a205273
- Size of remote file:
- 160 MB
- SHA256:
- f62fa4b8cea3d26e1d95bcb16f1527953f36e722d3c00987404e1bcd4726b22e
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