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
Ctrl+K
- checkpoint-100
- checkpoint-1000
- checkpoint-1100
- checkpoint-1200
- checkpoint-1300
- checkpoint-1400
- checkpoint-1500
- checkpoint-1600
- checkpoint-1700
- checkpoint-200
- checkpoint-300
- checkpoint-400
- checkpoint-600
- checkpoint-700
- checkpoint-800
- checkpoint-900
- runs
- 1.57 kB
- 4.95 kB
- 1.27 kB
- 1.13 GB xet
- 964 Bytes
- 17.1 MB xet
- 1.15 kB
- 5.3 kB xet