Instructions to use dada22231/cdf861c6-72a4-41b4-ac3f-a9bb00013b19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/cdf861c6-72a4-41b4-ac3f-a9bb00013b19 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "dada22231/cdf861c6-72a4-41b4-ac3f-a9bb00013b19") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59d04df18694d3f884d244a521da1bc8378829920396e03ed7013e9ea0ffdc69
- Size of remote file:
- 6.84 kB
- SHA256:
- 0d1192c9c8451fabc50a97ac4f47683b0744c8f1805f26501aed601c57736f15
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