Instructions to use prxy5607/8ef2e84c-5283-47bd-9400-2d59d50dee29 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/8ef2e84c-5283-47bd-9400-2d59d50dee29 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, "prxy5607/8ef2e84c-5283-47bd-9400-2d59d50dee29") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eefc605dc845ec19db92aa6ea223733f384e62f9bd9a06e2db2ba3267b4636a2
- Size of remote file:
- 76.7 kB
- SHA256:
- fb8667e58d68d1a816f66b8ed0402a50c212207b657848ca39ec8820b0772933
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