Instructions to use fedovtt/f049da0d-e26f-43b2-b79d-1efe894d5839 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fedovtt/f049da0d-e26f-43b2-b79d-1efe894d5839 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-160m") model = PeftModel.from_pretrained(base_model, "fedovtt/f049da0d-e26f-43b2-b79d-1efe894d5839") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0594e5922d66b338137f9417af107c175be389e22a25dbc1adcea2b1f1f7eeb2
- Size of remote file:
- 28.3 MB
- SHA256:
- 86583f2e95fea9fa8b6c3f2fabf1195c82e37e707d8c559b49ad2d935ee88e8c
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