Instructions to use ivangrapher/b05d90d4-020e-4bfc-bdf1-b1df1f1a1a90 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ivangrapher/b05d90d4-020e-4bfc-bdf1-b1df1f1a1a90 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "ivangrapher/b05d90d4-020e-4bfc-bdf1-b1df1f1a1a90") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8382ffe13a384ca670ceae96e52508aa0654f142bfcf4c5ef321c44ac2752ab1
- Size of remote file:
- 6.71 kB
- SHA256:
- 2a3a1ffb3e036faf50a55993c2f4af53e4f8006ad58fd0d1c87687d8b586ffb5
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