Instructions to use Quivr/gpt-4o with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Quivr/gpt-4o with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Quivr/gpt-4o", dtype="auto") - Transformers.js
How to use Quivr/gpt-4o with Transformers.js:
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- Notebooks
- Google Colab
- Kaggle
Cloned from Xenova/gpt-4o
GPT-4o Tokenizer
A 🤗-compatible version of the GPT-4o 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/gpt-4o')
assert tokenizer.encode('hello world') == [24912, 2375]
Transformers.js
import { AutoTokenizer } from '@xenova/transformers';
const tokenizer = await AutoTokenizer.from_pretrained('Xenova/gpt-4o');
const tokens = tokenizer.encode('hello world'); // [24912, 2375]
Inference Providers NEW
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