Instructions to use isashap/final3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isashap/final3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("distilgpt2") model = PeftModel.from_pretrained(base_model, "isashap/final3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c1a26124f085a77ef66cf7603a55b55ffb2651067a697911fff414aca2e3317
- Size of remote file:
- 25.3 kB
- SHA256:
- fa40a72fcf724567bd30b87daa52d747209b568a95ad95daf8addfcc8c97cd62
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