Instructions to use JasonYang66/fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JasonYang66/fast with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JasonYang66/fast", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "added_tokens_decoder": {}, | |
| "auto_map": { | |
| "AutoProcessor": "processing_action_tokenizer.UniversalActionProcessor" | |
| }, | |
| "clean_up_tokenization_spaces": true, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "processor_class": "UniversalActionProcessor", | |
| "tokenizer_class": "PreTrainedTokenizerFast" | |
| } | |