Instructions to use 1-lock/4fd0060f-8207-495b-9bd3-5b1343322050 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/4fd0060f-8207-495b-9bd3-5b1343322050 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "1-lock/4fd0060f-8207-495b-9bd3-5b1343322050") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3a498fa6eeb57e127c512b5034199498ffb63e4b7a2d1371d7f2dbce9c7b53e
- Size of remote file:
- 6.84 kB
- SHA256:
- efc22a97e1edef90431c23560e9da24c0942957ffc78c89aa9fbd012c6ea79d8
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