Instructions to use eeeebbb2/f1870551-e865-4496-82eb-3122c4c5fe07 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/f1870551-e865-4496-82eb-3122c4c5fe07 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "eeeebbb2/f1870551-e865-4496-82eb-3122c4c5fe07") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4ecaf1d07af7d5613c3fa50b2059cbf84795ffb58faa23ca9bca248d65235cd
- Size of remote file:
- 800 MB
- SHA256:
- 8aebcc21c44cffaf58411a81216955213c7979eb651c6614df79be4902cd1487
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