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", dtype="auto") - Transformers.js
How to use Xenova/text-davinci-003 with Transformers.js:
// β οΈ Unknown pipeline tag
- Notebooks
- Google Colab
- Kaggle
text-davinci-003 Tokenizer
A π€-compatible version of the text-davinci-003 tokenizer (adapted from openai/tiktoken). This means it can be used with Hugging Face libraries including Transformers, Tokenizers, and Transformers.js.
Example usage:
Transformers/Tokenizers
from transformers import GPT2TokenizerFast
tokenizer = GPT2TokenizerFast.from_pretrained('Xenova/text-davinci-003')
assert tokenizer.encode('hello world') == [31373, 995]
Transformers.js
import { AutoTokenizer } from '@huggingface/transformers';
const tokenizer = await AutoTokenizer.from_pretrained('Xenova/text-davinci-003');
const tokens = tokenizer.encode('hello world'); // [31373, 995]
Inference Providers NEW
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