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:
- 88e79175187ead08d8c96042ab2c85cbb81ffe34d34e1ae3a2fae810354eb120
- Size of remote file:
- 25.3 MB
- SHA256:
- 54c677ef966239b01d55f084e9a6d8207b6e2d91b8b1f794b584d279cd95e680
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