Instructions to use SaulLu/recreate-history with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaulLu/recreate-history with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SaulLu/recreate-history")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("SaulLu/recreate-history") model = AutoModelForTokenClassification.from_pretrained("SaulLu/recreate-history") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token": "[CLS]", | |
| "eos_token": "[SEP]", | |
| "unk_token": "<unk>", | |
| "sep_token": "[SEP]", | |
| "pad_token": "<pad>", | |
| "cls_token": "[CLS]", | |
| "mask_token": { | |
| "content": "[MASK]", | |
| "single_word": false, | |
| "lstrip": true, | |
| "rstrip": false, | |
| "normalized": false | |
| } | |
| } | |