Instructions to use mdecot/RobotDocNLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdecot/RobotDocNLP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mdecot/RobotDocNLP")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mdecot/RobotDocNLP") model = AutoModelForTokenClassification.from_pretrained("mdecot/RobotDocNLP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| pipeline_tag: token-classification | |
| datasets: | |
| - ktgiahieu/maccrobat2018_2020 | |
| language: | |
| - en | |
| tags: | |
| - medic | |
| library_name: transformers | |