Instructions to use dimasik1987/adb7b1c7-e2eb-441d-b63f-6e14a444b7bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik1987/adb7b1c7-e2eb-441d-b63f-6e14a444b7bb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "dimasik1987/adb7b1c7-e2eb-441d-b63f-6e14a444b7bb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60799b0a152139f904e6d2d5bdfd474ef07d1250b85507b1d719c3a35bb90e85
- Size of remote file:
- 157 MB
- SHA256:
- 3074ba5b8f13965e9f8a4260d0e253072e76aa21c6909da25eba5300b92115ef
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