Instructions to use araviiiman/game21-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use araviiiman/game21-sft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("distilgpt2") model = PeftModel.from_pretrained(base_model, "araviiiman/game21-sft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e53a1a6a7834608d47786ca8d57387b9be963137472ea1fc29747e8addaa058
- Size of remote file:
- 1.63 MB
- SHA256:
- 290c54a731b14860c172fcf5bd5e9fa2ffa6fc6d097e985f7b0fd74b4b71a40e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.