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:
- 726f5e5285e56ab2c91fbb4b210ba29c2703cc295cee0a956ef397b84f440d16
- Size of remote file:
- 15 kB
- SHA256:
- 2e2adabed50d05ebda056e2c18b8f47f9647c13f563123d8961e65f81c3a00cf
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