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:
- c2ef0a7e2c8260e97e9838760f082c2fba81c902436b168d48597349b3f9b35f
- Size of remote file:
- 104 kB
- SHA256:
- cf91b523ec7d83a62da467442c00337e4bd70589877a618d97c59eedcdeb93b7
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