Instructions to use cunghoctienganh/a1a2e968-9344-4d24-902f-70e9c6618bdd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/a1a2e968-9344-4d24-902f-70e9c6618bdd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/a1a2e968-9344-4d24-902f-70e9c6618bdd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb6390e6c0f94cd72133690c3f64c0222348a67ee8b577b0f036d1ccdedae156
- Size of remote file:
- 6.78 kB
- SHA256:
- 4a9867ff8f018a64e68897f194618be7bc5f5474348659471fcf7e4c32007f4f
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