Token Classification
Transformers
TensorBoard
Safetensors
English
lilt
document understanding
document layout detection
nlp
doclaynet
RoBERTa
Instructions to use MuafiraThasni/layout-classification-doclaynet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MuafiraThasni/layout-classification-doclaynet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MuafiraThasni/layout-classification-doclaynet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MuafiraThasni/layout-classification-doclaynet-base") model = AutoModelForTokenClassification.from_pretrained("MuafiraThasni/layout-classification-doclaynet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 137292b8d9120f6d233c76a961d2f360b16ee02ab85f1047eeb8be8cab8dc3f4
- Size of remote file:
- 5.3 kB
- SHA256:
- 2544ef83614d223e3dbe1cbe496bce99a66932dd46abc19142f548bbc4c106c4
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