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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1100/scheduler.pt from MuafiraThasni/layout-classification-doclaynet-base: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/MuafiraThasni/layout-classification-doclaynet-base/resolve/main/checkpoint-1100/scheduler.pt
- Command line
-
hf download hf://MuafiraThasni/layout-classification-doclaynet-base/checkpoint-1100/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/MuafiraThasni/layout-classification-doclaynet-base/resolve/main/checkpoint-1100/scheduler.pt
1.06 kB
- Xet hash:
- 027834b94548467d79d3ebed12cd8f6231dd8d0c800c08036fe5532926f20e9c
- Size of remote file:
- 1.06 kB
- SHA256:
- 8e76ebf6f0c23de8eaba27e74724fd21b0583a4ccede4d192119e06bfa857004
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