Text Classification
Transformers
Safetensors
English
layoutlmv3
document-classification
document-ai
multimodal
form-understanding
Instructions to use AIwithSakthivel/form-classifier-layoutlmv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIwithSakthivel/form-classifier-layoutlmv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIwithSakthivel/form-classifier-layoutlmv3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("AIwithSakthivel/form-classifier-layoutlmv3") model = AutoModelForSequenceClassification.from_pretrained("AIwithSakthivel/form-classifier-layoutlmv3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AIwithSakthivel/form-classifier-layoutlmv3: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/AIwithSakthivel/form-classifier-layoutlmv3/resolve/main/tokenizer.json
- Command line
-
hf download hf://AIwithSakthivel/form-classifier-layoutlmv3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AIwithSakthivel/form-classifier-layoutlmv3/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.