Instructions to use prachuryyaIITG/MultiCoNER2_Swedish_XLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prachuryyaIITG/MultiCoNER2_Swedish_XLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="prachuryyaIITG/MultiCoNER2_Swedish_XLM")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("prachuryyaIITG/MultiCoNER2_Swedish_XLM") model = AutoModelForTokenClassification.from_pretrained("prachuryyaIITG/MultiCoNER2_Swedish_XLM") - Notebooks
- Google Colab
- Kaggle
Add library_name metadata and GitHub link
#1
by nielsr HF Staff - opened
This PR adds library_name: transformers to the YAML metadata to enable automated code snippets and the "Use in Transformers" button on the model page. It also improves the model description by explicitly linking it to the AWED-FiNER project and its corresponding research paper.
prachuryyaIITG changed pull request status to merged