Instructions to use eeeebbb2/e259bfcb-1b8d-41e0-bc8b-2b5147ec7689 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/e259bfcb-1b8d-41e0-bc8b-2b5147ec7689 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-7b-it") model = PeftModel.from_pretrained(base_model, "eeeebbb2/e259bfcb-1b8d-41e0-bc8b-2b5147ec7689") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad34f8f8544c0afa63db1714269a82e53466f4b7902b72568d09b6db2b433464
- Size of remote file:
- 6.84 kB
- SHA256:
- 4466d34213e52bd318397aab82fee6aaca47a54e8e7b7f8fb96bbcbbdc686a4a
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