Instructions to use CatBarks/GPT2ES_spamming-email-classification2_1_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CatBarks/GPT2ES_spamming-email-classification2_1_tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CatBarks/GPT2ES_spamming-email-classification2_1_tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "added_tokens_decoder": { | |
| "50256": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "50257": { | |
| "content": "<SOS>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "50258": { | |
| "content": "<EOS>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "50259": { | |
| "content": "<PAD>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<SOS>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<EOS>", | |
| "model_max_length": 1024, | |
| "pad_token": "<PAD>", | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |