Instructions to use prachuryyaIITG/MultiCoNER2_French_XLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prachuryyaIITG/MultiCoNER2_French_XLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="prachuryyaIITG/MultiCoNER2_French_XLM")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("prachuryyaIITG/MultiCoNER2_French_XLM") model = AutoModelForTokenClassification.from_pretrained("prachuryyaIITG/MultiCoNER2_French_XLM") - Notebooks
- Google Colab
- Kaggle
Add library_name metadata
#1
by nielsr HF Staff - opened
Hi! I'm Niels, part of the community science team at Hugging Face.
This PR improves the model card by adding the library_name: transformers metadata tag. This ensures that the model is correctly identified as a Transformers model, enabling the automated code snippets and the inference widget on the Hub. I've also updated the citation to reflect the published arXiv ID.
prachuryyaIITG changed pull request status to merged