Instructions to use Xenova/text-davinci-003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xenova/text-davinci-003 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xenova/text-davinci-003", device_map="auto") - Transformers.js
How to use Xenova/text-davinci-003 with Transformers.js:
// ⚠️ Unknown pipeline tag
- Notebooks
- Google Colab
- Kaggle
No config.json?
#1
by amVcmkZmdKnBK - opened
It appears I can't load this out the box with huggingface_hub via Python due to the lack of config.json. Is this intentional? Maybe I am trying to use it in an inapplicable way?
As stated in the README, this is only a transformers-compatible version of the tokenizer. The model itself is not open access.