Instructions to use prxy5607/bd5a8843-00c3-4eea-bc1a-ebe060cf6959 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/bd5a8843-00c3-4eea-bc1a-ebe060cf6959 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "prxy5607/bd5a8843-00c3-4eea-bc1a-ebe060cf6959") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 307a8cb950dde9461fe9d43e05a60bd9dd082efb1be1431bac50ebaece2fa74d
- Size of remote file:
- 151 kB
- SHA256:
- a5fa96c7a3337d311ff7e2a5653ead4f5c96a0ac65cf118b25d7c2469c16f865
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