Instructions to use predibase/customer_support_orders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use predibase/customer_support_orders with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "predibase/customer_support_orders") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f25fb2d40ba9d5aac2428d892f08b991527135810c5117da70ee037fad100dd
- Size of remote file:
- 13.6 MB
- SHA256:
- 11d9b926f5c7824da6898e45fd5d6e8e3cc803763be35f026bd336ca8d8cd607
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