Instructions to use jvdzwaan/ocrpostcorrection-task-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jvdzwaan/ocrpostcorrection-task-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jvdzwaan/ocrpostcorrection-task-1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jvdzwaan/ocrpostcorrection-task-1") model = AutoModelForTokenClassification.from_pretrained("jvdzwaan/ocrpostcorrection-task-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
dfb587e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f934e23694921018a3562c552464ff223f64b52bcf37e7544c609df57724705b
size 709128241
|