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:
- e99d7722a63221bcd2fb9fd6e0b4aa17a471b1af6720b4abd1c14774c0cffb5f
- Size of remote file:
- 5.69 kB
- SHA256:
- e7ab50d1a13b7a2c378c8e13d6c34f83c8133e2db3ac25192a2e9f4c6053af8f
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