Instructions to use prachuryyaIITG/MultiCoNER2_Bengali_XLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prachuryyaIITG/MultiCoNER2_Bengali_XLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="prachuryyaIITG/MultiCoNER2_Bengali_XLM")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("prachuryyaIITG/MultiCoNER2_Bengali_XLM") model = AutoModelForTokenClassification.from_pretrained("prachuryyaIITG/MultiCoNER2_Bengali_XLM") - Notebooks
- Google Colab
- Kaggle
Add library_name and update model card
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community team.
I noticed this model is part of the AWED-FiNER project but was missing the library_name metadata. I've added library_name: transformers to the YAML header, which will enable the "Use in Transformers" button and automated code snippets on the model page.
I've also updated the description to more clearly link the model to the AWED-FiNER paper and collection.
prachuryyaIITG changed pull request status to merged