Instructions to use coeuslearning/m_product_ads with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use coeuslearning/m_product_ads with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-1b7") model = PeftModel.from_pretrained(base_model, "coeuslearning/m_product_ads") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7bf0efb2b4d8c32579c8a32243d054bff27314495b183e3432c42807aeeac51
- Size of remote file:
- 12.6 MB
- SHA256:
- 1d6268a3144b34cc3fee2c9b9c84858f68797be1c5c10a7effeaf6c004797e38
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