Instructions to use arver/code_gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arver/code_gen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/wizardLM-7B-HF") model = PeftModel.from_pretrained(base_model, "arver/code_gen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d176328ee1af24bf5f40deb65ee249e6d94e4f7d983f4ced7eb34af42ddf9ed3
- Size of remote file:
- 1.28 GB
- SHA256:
- 1d102d0f9248914b070fed0aa20a56ae25042d4b307809c0ce28b41ad9cad8fa
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