Instructions to use Lakoc/test_ted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lakoc/test_ted with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lakoc/test_ted", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "([bos])", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "([eos])", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "([unk])", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "3": { | |
| "content": "([pad])", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "4": { | |
| "content": "([mask])", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "([bos])", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "([eos])", | |
| "mask_token": "([mask])", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "([pad])", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "([unk])" | |
| } | |