Instructions to use SteveNguyen/fast_tokenizer_mustard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SteveNguyen/fast_tokenizer_mustard with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SteveNguyen/fast_tokenizer_mustard", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 314 Bytes
bc56b4c | 1 2 3 4 5 6 7 8 9 10 11 | {
"auto_map": {
"AutoProcessor": "processing_action_tokenizer.UniversalActionProcessor"
},
"backend": "tokenizers",
"clean_up_tokenization_spaces": false,
"model_max_length": 1000000000000000019884624838656,
"processor_class": "UniversalActionProcessor",
"tokenizer_class": "TokenizersBackend"
}
|