Instructions to use rumike7/cadquery_create_basic_forms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rumike7/cadquery_create_basic_forms with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "rumike7/cadquery_create_basic_forms") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a3715d3c84d32d4143780df0352df4ebb9a8a60b270915de2d820ca077e5158
- Size of remote file:
- 14.2 kB
- SHA256:
- de7016e9bf414493de50a8ff00883edb04271648457ee2bbc0be7287cdefa82a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.