Instructions to use Raiff1982/Finetuned-gpt-codette with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Raiff1982/Finetuned-gpt-codette with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Raiff1982/Finetuned-gpt-codette", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2/tokenizer.json from Raiff1982/Finetuned-gpt-codette: direct link, hf CLI and curl.
- Browser
- Download file 3.81 MB
-
https://huggingface.co/Raiff1982/Finetuned-gpt-codette/resolve/main/checkpoint-2/tokenizer.json
- Command line
-
hf download hf://Raiff1982/Finetuned-gpt-codette/checkpoint-2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Raiff1982/Finetuned-gpt-codette/resolve/main/checkpoint-2/tokenizer.json
3.81 MB
File too large to display, you can check the raw version instead.