Instructions to use recogna-nlp/gembode-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use recogna-nlp/gembode-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "recogna-nlp/gembode-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a8370dd41a28882e590a7ac2cb722f0e8f8d7c5600b56da5327f6ed332f7823
- Size of remote file:
- 400 MB
- SHA256:
- 6f28f3449bb27e3ddb0fccdd901984bcd93270c4ae953b03785b4eb4f7639658
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