Instructions to use vikp/pdf_postprocessor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/pdf_postprocessor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vikp/pdf_postprocessor")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vikp/pdf_postprocessor") model = AutoModelForTokenClassification.from_pretrained("vikp/pdf_postprocessor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 182 Bytes
ce0136d | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"additional_special_tokens": [
"<unk>",
"<s>",
"</s>",
"<pad>"
],
"bos_token": "<s>",
"eos_token": "</s>",
"pad_token": "<pad>",
"unk_token": "<unk>"
}
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