Instructions to use Kubermatic/DeepCNCF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kubermatic/DeepCNCF with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-1.1-7b-it") model = PeftModel.from_pretrained(base_model, "Kubermatic/DeepCNCF") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b75facd43b67b317a6bd06c282f8daa2502fcec158b0d24db26f8de0ff9f778
- Size of remote file:
- 5.05 kB
- SHA256:
- 5fb9d54bd078d7a5cd73a0ad774aff5c6112585541fc78c2188c4b14172be7f2
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