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:
- 6320aa1124aa6bce709330f92ba544aeb6c142b3445d81ac44bcb821d0cf0628
- Size of remote file:
- 14.2 kB
- SHA256:
- d6a9101315bed33e0f3a0fc84fd93cd1f88e425b915b76ec585cd3942cf27abe
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