Instructions to use phungkhaccuong/18d6d3aa-3fae-4913-8e78-59701e8aa297 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use phungkhaccuong/18d6d3aa-3fae-4913-8e78-59701e8aa297 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "phungkhaccuong/18d6d3aa-3fae-4913-8e78-59701e8aa297") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81de8be304ee04cadf869333db9226660d6fbc173d070b271e99567726042bca
- Size of remote file:
- 6.78 kB
- SHA256:
- b041dc45be8ca8e8e263bfcff81f24aeacd7fd37626685eea1cc4e31e37c8e13
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