Quantifying the Carbon Emissions of Machine Learning
Paper • 1910.09700 • Published • 45
Token Classification
Transformers
TensorBoard
Safetensors
English
lilt
document understanding
document layout detection
nlp
doclaynet
RoBERTa
# 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")Quick Links
This is a document layout classification model. This model is a fine-tuned version of nielsr/lilt-xlm-roberta-base with the DocLayNet base dataset.
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- Developed by: Muafira Thasni
- Language(s) (NLP): English
- License: MIT
- Finetuned from model: nielsr/lilt-xlm-roberta-base
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MuafiraThasni/layout-classification-doclaynet-base")