Instructions to use abvijaykumar/distilgpt2-prefix-table-to-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abvijaykumar/distilgpt2-prefix-table-to-text with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("distilgpt2") model = PeftModel.from_pretrained(base_model, "abvijaykumar/distilgpt2-prefix-table-to-text") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10a2ff43b51a0286c554e907fbec3ffe0a50345a48d49200208f60847e627c5f
- Size of remote file:
- 738 kB
- SHA256:
- d4e165abe413324ae3fa408b05b374251e252c22229327e8308dff3843f1ed23
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.