Instructions to use chauhoang/43c5e90a-91f9-d2b4-19f3-6ca01351db92 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/43c5e90a-91f9-d2b4-19f3-6ca01351db92 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "chauhoang/43c5e90a-91f9-d2b4-19f3-6ca01351db92") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d73161aa8b39f3a08424d4433730b1a0f59d9c7efca2dd4e3bce07325a9758eb
- Size of remote file:
- 6.78 kB
- SHA256:
- 50725a811099cc953c692444240f695cc543e40a7e213fd43ea2ecf5328126b8
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