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:
- 2ee39319fc2e16d278e8a7e6d0b212b8655e46a78a6feedd35f21170f69f2280
- Size of remote file:
- 9.92 MB
- SHA256:
- d043f2d7e986b7759dc1d9537c674e7cb4d2e5fca5eab4ead60a788f57c17f08
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