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
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Download README.md from Kubermatic/DeepCNCF: direct link, hf CLI and curl.
- Browser
- Download file 24 Bytes
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https://huggingface.co/Kubermatic/DeepCNCF/resolve/01d588686611f536367ae47d24118f5ba2c2a9c0/README.md
- Command line
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hf download hf://Kubermatic/DeepCNCF@01d588686611f536367ae47d24118f5ba2c2a9c0/README.md
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curl -L -o README.md https://huggingface.co/Kubermatic/DeepCNCF/resolve/01d588686611f536367ae47d24118f5ba2c2a9c0/README.md
24 Bytes
metadata
license: mit