Instructions to use p1atdev/multi-tokenizers-processor-sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p1atdev/multi-tokenizers-processor-sample with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("p1atdev/multi-tokenizers-processor-sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 173 Bytes
b5e658d | 1 2 3 4 5 6 7 8 9 10 | {
"auto_map": {
"AutoProcessor": [
"processor_multitokenizers.MultiTokenizersProcessor",
null
]
},
"processor_class": "MultiTokenizersProcessor"
}
|