Instructions to use cunghoctienganh/4a2173d5-66b7-450b-9ca9-92cedb0d88d7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/4a2173d5-66b7-450b-9ca9-92cedb0d88d7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/4a2173d5-66b7-450b-9ca9-92cedb0d88d7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1142091aa5dae06a633b64e95b4802b16b257f3d8c0035851a0d780c20132b74
- Size of remote file:
- 6.78 kB
- SHA256:
- cf5736ff0dd929dac904c0c54d2498994a86b0ea5d5d985cf067984c9614826d
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