Instructions to use HueyNemud/icdar23-entrydetector_labelledtext_breaks_indents_left_diff_right_ref with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HueyNemud/icdar23-entrydetector_labelledtext_breaks_indents_left_diff_right_ref with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HueyNemud/icdar23-entrydetector_labelledtext_breaks_indents_left_diff_right_ref")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HueyNemud/icdar23-entrydetector_labelledtext_breaks_indents_left_diff_right_ref") model = AutoModelForTokenClassification.from_pretrained("HueyNemud/icdar23-entrydetector_labelledtext_breaks_indents_left_diff_right_ref", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2 opened almost 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot