Instructions to use ciocan/ornith-1.5-9b-spreadsheetbench-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ciocan/ornith-1.5-9b-spreadsheetbench-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/root/ft9b/models/ornith-1.5-9b") model = PeftModel.from_pretrained(base_model, "ciocan/ornith-1.5-9b-spreadsheetbench-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3726fa056b1be1400b0868b960f02dea0be8ffba9ba3997cb06eea1c7c3fa3ee
- Size of remote file:
- 233 MB
- SHA256:
- 78885434ffd8104112336eaebafc2ff44d68303c83bfd0620e0d1f57c176dab3
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