Instructions to use tarabukinivan/14e930b2-65b6-4e73-8ebf-30e4127749a0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/14e930b2-65b6-4e73-8ebf-30e4127749a0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TitanML/tiny-mixtral") model = PeftModel.from_pretrained(base_model, "tarabukinivan/14e930b2-65b6-4e73-8ebf-30e4127749a0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f19024f12a73b755e3e8ed07d9e0e76a18ea325036ee9f91341447d70421b73
- Size of remote file:
- 7.59 MB
- SHA256:
- f595a86f87c00ebba9d1e12c0051af42222164da3a5e7e6200e8ac479ffa3161
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