Instructions to use isashap/final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isashap/final with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("distilgpt2") model = PeftModel.from_pretrained(base_model, "isashap/final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3eb43fd272488ef5c0f26de05c584b47859e360ae897fa829cf760c1e86e2295
- Size of remote file:
- 25.3 kB
- SHA256:
- 840fc830bb9e9f61091cc73e7faf17d46fbd0b1c3dee75162e8635968ea746fe
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