Instructions to use ardauzunoglu/bitwise-ops-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ardauzunoglu/bitwise-ops-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ardauzunoglu/bitwise-ops-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "version": "1.0", | |
| "truncation": null, | |
| "padding": null, | |
| "added_tokens": [ | |
| { | |
| "id": 0, | |
| "content": "<pad>", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": false, | |
| "special": true | |
| }, | |
| { | |
| "id": 1, | |
| "content": "<s>", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": false, | |
| "special": true | |
| }, | |
| { | |
| "id": 2, | |
| "content": "</s>", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": false, | |
| "special": true | |
| }, | |
| { | |
| "id": 3, | |
| "content": "<unk>", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": false, | |
| "special": true | |
| } | |
| ], | |
| "normalizer": null, | |
| "pre_tokenizer": { | |
| "type": "Whitespace" | |
| }, | |
| "post_processor": null, | |
| "decoder": null, | |
| "model": { | |
| "type": "WordLevel", | |
| "vocab": { | |
| "<pad>": 0, | |
| "<s>": 1, | |
| "</s>": 2, | |
| "<unk>": 3, | |
| "0": 4, | |
| "1": 5, | |
| "OP_IDENTITY": 6, | |
| "OP_NOT": 7, | |
| "OP_REVERSE": 8, | |
| "OP_REVERSE_NOT": 9, | |
| "OP_POPCOUNT": 10, | |
| "OP_PARITY": 11, | |
| "OP_LEADING_ZEROS": 12, | |
| "OP_TRAILING_ZEROS": 13, | |
| "OP_MSB": 14, | |
| "EQUALS": 15, | |
| "END": 16, | |
| "OP_LSB": 17, | |
| "OP_UPPER_HALF": 18, | |
| "OP_LOWER_HALF": 19 | |
| }, | |
| "unk_token": "<unk>" | |
| } | |
| } |