Instructions to use oakal/fourthbrain_bloomz_marketing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oakal/fourthbrain_bloomz_marketing with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-3b") model = PeftModel.from_pretrained(base_model, "oakal/fourthbrain_bloomz_marketing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6987794553c1fbf32054dabe8fb7d40406fa78b6a8b6febd651622058e896373
- Size of remote file:
- 19.7 MB
- SHA256:
- 1cbf37a8846968a57fb925b73551854a0c8988ceb4d5616f4a92b0aa3f8c84ec
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