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:
- a0a8042f2cbc0a3734e94bc3aae6595955114a51991001de6801c8b3d142eab1
- Size of remote file:
- 3.88 MB
- SHA256:
- 2224b5b3c1b3bee62fbfe9f470e0466f0827040958f4ac9a79e9303c2b72feb5
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