Instructions to use Alphatao/740d7cd1-718c-4bee-9388-fa4953bcc42a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alphatao/740d7cd1-718c-4bee-9388-fa4953bcc42a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "Alphatao/740d7cd1-718c-4bee-9388-fa4953bcc42a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3b2fb17001ea4145acf66cdb8f8a4a02453174675b50d6d645070a956b993ab
- Size of remote file:
- 6.78 kB
- SHA256:
- d8b657d19183014eb0c57f09ecc8fa31b406fb472d8e769afa492db2e0bec2ec
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