Instructions to use baltop/zwave-dbgatekeeper-v0.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baltop/zwave-dbgatekeeper-v0.3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "baltop/zwave-dbgatekeeper-v0.3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28dfc6e212a6aa9f7958fb4b04dde0e9c73380d89b1b867d71c47815920ac49f
- Size of remote file:
- 4.66 kB
- SHA256:
- 3590f49eb926244738eba44f5a2a5b93f3455bb0c8fe39c90b692c6cf1ea1736
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