Instructions to use eeeebbb2/9b7fb9cc-43da-4e59-b670-c828b1605eb3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/9b7fb9cc-43da-4e59-b670-c828b1605eb3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-7b") model = PeftModel.from_pretrained(base_model, "eeeebbb2/9b7fb9cc-43da-4e59-b670-c828b1605eb3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d6a5f7e828a60decbf55dd12c3e65af896370a3781aca49e7ae15ded34f5fcb
- Size of remote file:
- 6.84 kB
- SHA256:
- 9cebb156f531ce1bda94192d63d8ec28ac268301fe81ab91bc9157cbb5452dc9
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