Instructions to use dimasik87/194dde6f-ba07-4510-bad0-9b71c9ef57d8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/194dde6f-ba07-4510-bad0-9b71c9ef57d8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "dimasik87/194dde6f-ba07-4510-bad0-9b71c9ef57d8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0a1eba529352875a25722fb23d3acba7ab1924ed7c3282a8b58759657486856
- Size of remote file:
- 6.78 kB
- SHA256:
- 421d4e56499368d0b2bfa131bab9b2f97e6ab7b48043ebc00c01f09f4ec0ceb8
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