Instructions to use prachuryyaIITG/SampurNER_Assamese_MuRIL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prachuryyaIITG/SampurNER_Assamese_MuRIL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="prachuryyaIITG/SampurNER_Assamese_MuRIL")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("prachuryyaIITG/SampurNER_Assamese_MuRIL") model = AutoModelForTokenClassification.from_pretrained("prachuryyaIITG/SampurNER_Assamese_MuRIL") - Notebooks
- Google Colab
- Kaggle
Add library_name and link to paper
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community team.
This PR improves your model card by:
- Adding
library_name: transformersto the metadata. This enables the "Use in Transformers" button on the model page and provides a predefined code snippet for users. - Ensuring the model is linked to the AWED-FiNER paper on Hugging Face.
The model card already contains excellent information regarding performance, training parameters, and sample usage.
prachuryyaIITG changed pull request status to merged