Instructions to use kokovova/1f7aafc7-e588-4c49-bc2a-43288e6007ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/1f7aafc7-e588-4c49-bc2a-43288e6007ce with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "kokovova/1f7aafc7-e588-4c49-bc2a-43288e6007ce") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11b044175aad47e623a2934c87ebf032309a2e9335178942e9b76b201a474453
- Size of remote file:
- 101 MB
- SHA256:
- 6d1de240f4d16998573a72f78c7a4f3850a5028d48ddcc13ea2d76c70c2024a4
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