Instructions to use dada22231/974d311e-ed8a-47cb-8ce5-3173ece128fc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/974d311e-ed8a-47cb-8ce5-3173ece128fc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "dada22231/974d311e-ed8a-47cb-8ce5-3173ece128fc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3e11f9bddd6f841d23fdb44bb49e131a5c88ce5ce1917fb29ab5a56db32e587
- Size of remote file:
- 6.84 kB
- SHA256:
- 5659b4e7418be33d4668f74694b9cf340a3731596bd418a1525e410beb9c90d4
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