Instructions to use Testys/text-gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Testys/text-gen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("chansung/Qwen2.5-1.5B-CCRL-CUR-UNI-1E") model = PeftModel.from_pretrained(base_model, "Testys/text-gen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3221b88a8eed8adaacb56d8ba4c65df66159311ffa31aa3284172ddbd0707ba8
- Size of remote file:
- 5.84 kB
- SHA256:
- 8daf0cdbf17cd38d3245c577be28b032f7a8b8d1d3e6d0852de7ad96261257e4
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