Instructions to use Xenova/gpt-4o with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xenova/gpt-4o with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xenova/gpt-4o", device_map="auto") - Transformers.js
How to use Xenova/gpt-4o with Transformers.js:
// ⚠️ Unknown pipeline tag
- Notebooks
- Google Colab
- Kaggle
Can this be trained?
#4
by umarbutler - opened
Just like any other Hugging Face tokenizer, it does seem like this tokenizer can be trained, however, I just wanted to check whether there were any caveats to this implementation that mean that if one were to try to train this tokenizer, say, on the exact same dataset used to create the gpt4o tokenizer, you'd still end up with a different tokenizer.