Instructions to use vikp/column_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/column_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vikp/column_detector")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("vikp/column_detector") model = AutoModelForSequenceClassification.from_pretrained("vikp/column_detector") - Inference
- Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| "<s>", | |
| "<pad>", | |
| "</s>", | |
| "<unk>", | |
| "<mask>" | |
| ], | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": "<mask>", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |