Instructions to use Amirmarshal/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Amirmarshal/tmp_trainer with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/base_model") model = PeftModel.from_pretrained(base_model, "Amirmarshal/tmp_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a080ad5c60577724fb432347cc652759bcc5d98b45a76de72eef2290cfd9d2a
- Size of remote file:
- 4.66 kB
- SHA256:
- 7aa48dbe10efec36d27512c43f8f11924ff76fc18a72dfa8320fba3fabfc7cf2
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