Instructions to use diaenra/f30e72fb-6193-420a-9b38-443b7dc3bdaf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use diaenra/f30e72fb-6193-420a-9b38-443b7dc3bdaf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("katuni4ka/tiny-random-olmo-hf") model = PeftModel.from_pretrained(base_model, "diaenra/f30e72fb-6193-420a-9b38-443b7dc3bdaf") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79216abce16626d0b024c6ea9a97b0919b756deb65df7b9ad6da0389bf1ba263
- Size of remote file:
- 6.84 kB
- SHA256:
- 83a2c07e20b1c331810276866201f9c004a8c3580362a3c6de6ae22e8d16f28c
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