Instructions to use prachuryyaIITG/APTFiNER_Marathi_MuRIL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prachuryyaIITG/APTFiNER_Marathi_MuRIL with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("prachuryyaIITG/APTFiNER_Marathi_MuRIL") model = AutoModelForTokenClassification.from_pretrained("prachuryyaIITG/APTFiNER_Marathi_MuRIL") - Notebooks
- Google Colab
- Kaggle
Update model card metadata and improve documentation
#1
by nielsr HF Staff - opened
This PR improves the model repository by:
- Updating the
pipeline_tagtootheras per the community science team's guidelines. - Adding the
library_name: transformerstag to enable automated code snippets and better discoverability. - Correcting the
pretty_namefrom "Tamil" to "Marathi" to match the model's actual language (mr). - Adding a link to the research paper on Hugging Face Papers.
- Including a link to the official GitHub repository for the AWED-FiNER project.
prachuryyaIITG changed pull request status to merged