Instructions to use Narednra/QAtinyllama2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Narednra/QAtinyllama2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "Narednra/QAtinyllama2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Narednra/QAtinyllama2: direct link, hf CLI and curl.
- Browser
- Download file 50.6 MB
-
https://huggingface.co/Narednra/QAtinyllama2/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Narednra/QAtinyllama2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Narednra/QAtinyllama2/resolve/main/adapter_model.bin
50.6 MB
- Xet hash:
- 9d996df332b55c68a6efed86abe48e15469df71571b11c37e5323fd248374482
- Size of remote file:
- 50.6 MB
- SHA256:
- 8a77e6472bebffcd42fb080fdfade3d3c302febd7abea41b9c71943d72322106
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